Face Generation

In this project, you'll use generative adversarial networks to generate new images of faces.

Get the Data

You'll be using two datasets in this project:

  • MNIST
  • CelebA

Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.

If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".

In [1]:
data_dir = '/data'
!pip install matplotlib==2.0.2
# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'


"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper

helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Collecting matplotlib==2.0.2
  Using cached https://files.pythonhosted.org/packages/01/61/17337866a6e944240c16ab0278a2350fcef57516faef40acbe74824769eb/matplotlib-2.0.2-cp35-cp35m-win_amd64.whl
Requirement already satisfied: pytz in c:\users\filipe\appdata\local\conda\conda\envs\tens2\lib\site-packages (from matplotlib==2.0.2) (2018.5)
Requirement already satisfied: cycler>=0.10 in c:\users\filipe\appdata\local\conda\conda\envs\tens2\lib\site-packages (from matplotlib==2.0.2) (0.10.0)
Requirement already satisfied: six>=1.10 in c:\users\filipe\appdata\local\conda\conda\envs\tens2\lib\site-packages (from matplotlib==2.0.2) (1.11.0)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=1.5.6 in c:\users\filipe\appdata\local\conda\conda\envs\tens2\lib\site-packages (from matplotlib==2.0.2) (2.2.0)
Found mnist Data
Found celeba Data
Exception:
Traceback (most recent call last):
  File "C:\Users\Filipe\AppData\Local\conda\conda\envs\tens2\lib\site-packages\pip\_internal\basecommand.py", line 228, in main
    status = self.run(options, args)
  File "C:\Users\Filipe\AppData\Local\conda\conda\envs\tens2\lib\site-packages\pip\_internal\commands\install.py", line 291, in run
    resolver.resolve(requirement_set)
  File "C:\Users\Filipe\AppData\Local\conda\conda\envs\tens2\lib\site-packages\pip\_internal\resolve.py", line 103, in resolve
    self._resolve_one(requirement_set, req)
  File "C:\Users\Filipe\AppData\Local\conda\conda\envs\tens2\lib\site-packages\pip\_internal\resolve.py", line 262, in _resolve_one
    check_dist_requires_python(dist)
  File "C:\Users\Filipe\AppData\Local\conda\conda\envs\tens2\lib\site-packages\pip\_internal\utils\packaging.py", line 46, in check_dist_requires_python
    feed_parser.feed(metadata)
  File "C:\Users\Filipe\AppData\Local\conda\conda\envs\tens2\lib\email\feedparser.py", line 178, in feed
    self._input.push(data)
  File "C:\Users\Filipe\AppData\Local\conda\conda\envs\tens2\lib\email\feedparser.py", line 104, in push
    self._partial.write(data)
TypeError: string argument expected, got 'NoneType'

Explore the Data

MNIST

As you're aware, the MNIST dataset contains images of handwritten digits. You can view the first number of examples by changing show_n_images.

In [2]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot

mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
Out[2]:
<matplotlib.image.AxesImage at 0x18c6db91198>

CelebA

The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.

In [3]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Out[3]:
<matplotlib.image.AxesImage at 0x18c6dc077b8>

Preprocess the Data

Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).

Build the Neural Network

You'll build the components necessary to build a GANs by implementing the following functions below:

  • model_inputs
  • discriminator
  • generator
  • model_loss
  • model_opt
  • train

Check the Version of TensorFlow and Access to GPU

This will check to make sure you have the correct version of TensorFlow and access to a GPU

In [4]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf

# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer.  You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))

# Check for a GPU
if not tf.test.gpu_device_name():
    warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
    print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.1.0
Default GPU Device: /gpu:0

Input

Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:

  • Real input images placeholder with rank 4 using image_width, image_height, and image_channels.
  • Z input placeholder with rank 2 using z_dim.
  • Learning rate placeholder with rank 0.

Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)

In [5]:
import problem_unittests as tests

def model_inputs(image_width, image_height, image_channels, z_dim):
    """
    Create the model inputs
    :param image_width: The input image width
    :param image_height: The input image height
    :param image_channels: The number of image channels
    :param z_dim: The dimension of Z
    :return: Tuple of (tensor of real input images, tensor of z data, learning rate)
    """
    # TODO: Implement Function
    img_real = tf.placeholder(tf.float32, shape=[None, image_width, image_height, image_channels])
    z = tf.placeholder(tf.float32, shape=[None, z_dim])
    learning_rate = tf.placeholder(tf.float32)
    return img_real, z, learning_rate


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed

Discriminator

Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).

In [6]:
ALPHA = 0.1
def discriminator(images, reuse=False):
    """
    Create the discriminator network
    :param images: Tensor of input image(s)
    :param reuse: Boolean if the weights should be reused
    :return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
    """
    ## testing the solution used on #DCGAN notebook
    with tf.variable_scope('discriminator', reuse=reuse):
        # Input layer is 28x28x3
        x1 = tf.layers.conv2d(images, 64, 5, strides=2, padding='same')
        relu1 = tf.maximum(ALPHA * x1, x1)
        # 14x14x64
        
        x2 = tf.layers.conv2d(relu1, 128, 5, strides=2, padding='same')
        bn2 = tf.layers.batch_normalization(x2, training=True)
        relu2 = tf.maximum(ALPHA * bn2, bn2)
        # 7x7x128
        
        x3 = tf.layers.conv2d(relu2, 256, 5, strides=2, padding='same')
        bn3 = tf.layers.batch_normalization(x3, training=True)
        relu3 = tf.maximum(ALPHA * bn3, bn3)
        dp3 = tf.nn.dropout(relu3, keep_prob =0.8)

        # 4x4x256

        # Flatten it
        flat = tf.reshape(dp3, (-1, 4*4*256))
        logits = tf.layers.dense(flat, 1)
        out = tf.sigmoid(logits)
        
        return out, logits
        


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Tests Passed

Generator

Implement generator to generate an image using z. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.

In [7]:
def generator(z, out_channel_dim, is_train=True):
    """
    Create the generator network
    :param z: Input z
    :param out_channel_dim: The number of channels in the output image
    :param is_train: Boolean if generator is being used for training
    :return: The tensor output of the generator
    """
    reuse = not is_train
    ## testing the solution used on #DCGAN notebook

    with tf.variable_scope('generator', reuse=reuse):
        # Fully connected layer
        x1 = tf.layers.dense(z, 7*7*2048)
        # Reshape it to start the convolutional stack
        x1 = tf.reshape(x1, (-1, 7, 7, 2048))
        x1 = tf.layers.batch_normalization(x1, training=is_train)
        x1 = tf.maximum(ALPHA * x1, x1)
        # 7x7x2048
        
        x2 = tf.layers.conv2d_transpose(x1, 1024, 5, strides=1, padding='same')
        x2 = tf.layers.batch_normalization(x2, training=is_train)
        x2 = tf.maximum(ALPHA * x2, x2)
        # 7x7x1024 
        
        x3 = tf.layers.conv2d_transpose(x2, 512, 5, strides=2, padding='same')

        x3 = tf.layers.batch_normalization(x3, training=is_train)
        x3 = tf.maximum(ALPHA * x3, x3)
        x3 = tf.nn.dropout(x3, keep_prob =0.9)

        # 14x14x512 
        
        x4 = tf.layers.conv2d_transpose(x3, 256, 5, strides=1, padding='same')
        x4 = tf.layers.batch_normalization(x4, training=is_train)
        x4 = tf.maximum(ALPHA * x4, x4)
        # 14x14x256 
        
        
        x5 = tf.layers.conv2d_transpose(x4, 128, 5, strides=2, padding='same')
        x5 = tf.layers.batch_normalization(x5, training=is_train)
        x5 = tf.maximum(ALPHA * x5, x5)
        #dp5 = tf.nn.dropout(x5, keep_prob =0.9)
        # 28x28x128 now
        
        
        # Output layer
        logits = tf.layers.conv2d_transpose(x5, out_channel_dim, 5, strides=1, padding='same')
        # 28x28xoutdim now
        
        out = tf.tanh(logits)
        
        return out


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Tests Passed

Loss

Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:

  • discriminator(images, reuse=False)
  • generator(z, out_channel_dim, is_train=True)
In [8]:
smooth = 0.1
def model_loss(input_real, input_z, out_channel_dim):
    """
    Get the loss for the discriminator and generator
    :param input_real: Images from the real dataset
    :param input_z: Z input
    :param out_channel_dim: The number of channels in the output image
    :return: A tuple of (discriminator loss, generator loss)
    """
    ## testing the solution used on #DCGAN notebook
    g_model = generator(input_z, out_channel_dim)
    d_model_real, d_logits_real = discriminator(input_real)
    d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)

    d_loss_real = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real) * (1 - smooth)))
    d_loss_fake = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
    g_loss = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))

    d_loss = d_loss_real + d_loss_fake


    return d_loss, g_loss


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed

Optimization

Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).

In [9]:
def model_opt(d_loss, g_loss, learning_rate, beta1):
    """
    Get optimization operations
    :param d_loss: Discriminator loss Tensor
    :param g_loss: Generator loss Tensor
    :param learning_rate: Learning Rate Placeholder
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :return: A tuple of (discriminator training operation, generator training operation)
    """
    ## testing the solution used on #DCGAN notebook
    
    # Get weights and bias to update
    t_vars = tf.trainable_variables()
    d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
    g_vars = [var for var in t_vars if var.name.startswith('generator')]

    # Optimize
    with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
        d_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)
        g_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(g_loss, var_list=g_vars)

    return d_train_opt, g_train_opt


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
Tests Passed

Neural Network Training

Show Output

Use this function to show the current output of the generator during training. It will help you determine how well the GANs is training.

In [10]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np

def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
    """
    Show example output for the generator
    :param sess: TensorFlow session
    :param n_images: Number of Images to display
    :param input_z: Input Z Tensor
    :param out_channel_dim: The number of channels in the output image
    :param image_mode: The mode to use for images ("RGB" or "L")
    """
    cmap = None if image_mode == 'RGB' else 'gray'
    z_dim = input_z.get_shape().as_list()[-1]
    example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])

    samples = sess.run(
        generator(input_z, out_channel_dim, False),
        feed_dict={input_z: example_z})

    images_grid = helper.images_square_grid(samples, image_mode)
    pyplot.imshow(images_grid, cmap=cmap)
    pyplot.show()

Train

Implement train to build and train the GANs. Use the following functions you implemented:

  • model_inputs(image_width, image_height, image_channels, z_dim)
  • model_loss(input_real, input_z, out_channel_dim)
  • model_opt(d_loss, g_loss, learning_rate, beta1)

Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.

In [11]:
import pickle as pkl
import matplotlib.pyplot as plt

def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
    """
    Train the GAN
    :param epoch_count: Number of epochs
    :param batch_size: Batch Size
    :param z_dim: Z dimension
    :param learning_rate: Learning Rate
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :param get_batches: Function to get batches
    :param data_shape: Shape of the data
    :param data_image_mode: The image mode to use for images ("RGB" or "L")
    """
    ## testing the solution used on #DCGAN notebook 
        
    input_real, input_z, learning_r  = model_inputs(data_shape[1], data_shape[2], data_shape[3], z_dim )
        
    d_loss, g_loss = model_loss(input_real, input_z, data_shape[3])
        
    d_opt, g_opt = model_opt(d_loss, g_loss, learning_rate, beta1)
    sample_z = np.random.uniform(-1, 1, size=(72, z_dim))
    saver = tf.train.Saver()
    steps = 0
    losses = []
    samples = []
    print_every = 10
    show_every=100
    d_loss_vec = []
    g_loss_vec = []
    with tf.Session() as sess:
        sess.run(tf.global_variables_initializer())
        for epoch_i in range(epoch_count):
            for batch_images in get_batches(batch_size):
                steps += 1
                #scale images
                batch_images *= 2
                # Sample random noise for G
                batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))

                # Run optimizers
                _ = sess.run(d_opt, feed_dict={input_real: batch_images, input_z: batch_z})
                _ = sess.run(g_opt, feed_dict={input_z: batch_z, input_real: batch_images})
                
                if steps % print_every == 0:
                    # At the end of each epoch, get the losses and print them out
                    train_loss_d = d_loss.eval({input_z: batch_z, input_real: batch_images})
                    train_loss_g = g_loss.eval({input_z: batch_z})

                    print("Epoch {}/{}...".format(epoch_i+1, epoch_count),
                          "Discriminator Loss: {:.4f}...".format(train_loss_d),
                          "Generator Loss: {:.4f}".format(train_loss_g))
                    # Save losses to view after training
                    losses.append((train_loss_d, train_loss_g))
                    
                    d_loss_vec.append(train_loss_d)
                    g_loss_vec.append(train_loss_g)
                    
                if steps % show_every == 0:
                    gen_samples = sess.run(
                                   generator(input_z, data_shape[3], is_train=False),
                                   feed_dict={input_z: sample_z})
                    samples.append(gen_samples)
                    show_generator_output(sess, 16, input_z, data_shape[3], data_image_mode)


       # saver.save(sess, './checkpoints/generator.ckpt')

    #with open('samples.pkl', 'wb') as f:
        #pkl.dump(samples, f)
        
    Discriminator_loss, = plt.plot(d_loss_vec, color='b', label='Discriminator loss')
    Genereator_loss, = plt.plot(g_loss_vec, color='r', label='Generator loss')
    plt.legend(handles=[ Discriminator_loss, Genereator_loss])
    return losses, samples
                
                

MNIST

Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.

In [12]:
batch_size = 32
z_dim = 200
learning_rate = 0.0004
beta1 = 0.2


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2

mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
    print(mnist_dataset.shape)
    train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
          mnist_dataset.shape, mnist_dataset.image_mode)
(60000, 28, 28, 1)
Epoch 1/2... Discriminator Loss: 0.9725... Generator Loss: 4.4125
Epoch 1/2... Discriminator Loss: 0.5429... Generator Loss: 12.1874
Epoch 1/2... Discriminator Loss: 1.1145... Generator Loss: 1.7847
Epoch 1/2... Discriminator Loss: 0.6224... Generator Loss: 2.4092
Epoch 1/2... Discriminator Loss: 1.5772... Generator Loss: 0.5704
Epoch 1/2... Discriminator Loss: 1.8027... Generator Loss: 0.3494
Epoch 1/2... Discriminator Loss: 2.8054... Generator Loss: 3.8895
Epoch 1/2... Discriminator Loss: 1.7795... Generator Loss: 2.3935
Epoch 1/2... Discriminator Loss: 1.2137... Generator Loss: 1.4395
Epoch 1/2... Discriminator Loss: 2.0170... Generator Loss: 0.3456
Epoch 1/2... Discriminator Loss: 1.8399... Generator Loss: 0.3328
Epoch 1/2... Discriminator Loss: 1.4176... Generator Loss: 0.7062
Epoch 1/2... Discriminator Loss: 1.3393... Generator Loss: 0.7459
Epoch 1/2... Discriminator Loss: 2.1874... Generator Loss: 0.2696
Epoch 1/2... Discriminator Loss: 1.3842... Generator Loss: 0.6888
Epoch 1/2... Discriminator Loss: 1.6353... Generator Loss: 0.7151
Epoch 1/2... Discriminator Loss: 1.5205... Generator Loss: 0.8512
Epoch 1/2... Discriminator Loss: 1.5276... Generator Loss: 0.7924
Epoch 1/2... Discriminator Loss: 1.4956... Generator Loss: 0.6666
Epoch 1/2... Discriminator Loss: 1.5885... Generator Loss: 0.5451
Epoch 1/2... Discriminator Loss: 1.5419... Generator Loss: 1.1756
Epoch 1/2... Discriminator Loss: 1.3177... Generator Loss: 0.8916
Epoch 1/2... Discriminator Loss: 1.4055... Generator Loss: 0.6422
Epoch 1/2... Discriminator Loss: 1.4411... Generator Loss: 0.5788
Epoch 1/2... Discriminator Loss: 1.4732... Generator Loss: 0.6253
Epoch 1/2... Discriminator Loss: 1.2431... Generator Loss: 0.8619
Epoch 1/2... Discriminator Loss: 1.4472... Generator Loss: 0.8916
Epoch 1/2... Discriminator Loss: 1.7641... Generator Loss: 0.7504
Epoch 1/2... Discriminator Loss: 1.4699... Generator Loss: 0.7223
Epoch 1/2... Discriminator Loss: 1.5316... Generator Loss: 0.5546
Epoch 1/2... Discriminator Loss: 1.5940... Generator Loss: 0.6857
Epoch 1/2... Discriminator Loss: 1.4177... Generator Loss: 0.6016
Epoch 1/2... Discriminator Loss: 1.4708... Generator Loss: 0.7670
Epoch 1/2... Discriminator Loss: 1.5366... Generator Loss: 0.6277
Epoch 1/2... Discriminator Loss: 1.7055... Generator Loss: 0.6168
Epoch 1/2... Discriminator Loss: 1.4058... Generator Loss: 0.7769
Epoch 1/2... Discriminator Loss: 1.3886... Generator Loss: 0.8315
Epoch 1/2... Discriminator Loss: 1.5202... Generator Loss: 0.6869
Epoch 1/2... Discriminator Loss: 1.4431... Generator Loss: 0.6523
Epoch 1/2... Discriminator Loss: 1.5090... Generator Loss: 0.5411
Epoch 1/2... Discriminator Loss: 1.4735... Generator Loss: 0.6128
Epoch 1/2... Discriminator Loss: 1.4155... Generator Loss: 0.8777
Epoch 1/2... Discriminator Loss: 1.4362... Generator Loss: 0.8166
Epoch 1/2... Discriminator Loss: 1.4906... Generator Loss: 0.7051
Epoch 1/2... Discriminator Loss: 1.5176... Generator Loss: 0.5723
Epoch 1/2... Discriminator Loss: 1.5504... Generator Loss: 0.8448
Epoch 1/2... Discriminator Loss: 1.4534... Generator Loss: 0.7260
Epoch 1/2... Discriminator Loss: 1.5622... Generator Loss: 1.0097
Epoch 1/2... Discriminator Loss: 1.5411... Generator Loss: 1.2865
Epoch 1/2... Discriminator Loss: 1.5643... Generator Loss: 0.5365
Epoch 1/2... Discriminator Loss: 1.4355... Generator Loss: 0.9379
Epoch 1/2... Discriminator Loss: 1.3898... Generator Loss: 0.9572
Epoch 1/2... Discriminator Loss: 1.3569... Generator Loss: 0.6369
Epoch 1/2... Discriminator Loss: 1.4664... Generator Loss: 0.5217
Epoch 1/2... Discriminator Loss: 1.5354... Generator Loss: 0.9770
Epoch 1/2... Discriminator Loss: 1.2933... Generator Loss: 0.8682
Epoch 1/2... Discriminator Loss: 1.3958... Generator Loss: 0.6319
Epoch 1/2... Discriminator Loss: 1.5449... Generator Loss: 0.6054
Epoch 1/2... Discriminator Loss: 1.3506... Generator Loss: 0.7448
Epoch 1/2... Discriminator Loss: 1.3755... Generator Loss: 0.9074
Epoch 1/2... Discriminator Loss: 1.4967... Generator Loss: 0.7073
Epoch 1/2... Discriminator Loss: 1.4344... Generator Loss: 0.8292
Epoch 1/2... Discriminator Loss: 1.5162... Generator Loss: 0.5601
Epoch 1/2... Discriminator Loss: 1.3783... Generator Loss: 0.8477
Epoch 1/2... Discriminator Loss: 1.5531... Generator Loss: 0.5209
Epoch 1/2... Discriminator Loss: 1.3111... Generator Loss: 0.8350
Epoch 1/2... Discriminator Loss: 1.4188... Generator Loss: 0.5010
Epoch 1/2... Discriminator Loss: 1.4087... Generator Loss: 0.7922
Epoch 1/2... Discriminator Loss: 1.5454... Generator Loss: 1.3475
Epoch 1/2... Discriminator Loss: 1.3602... Generator Loss: 0.7972
Epoch 1/2... Discriminator Loss: 1.6381... Generator Loss: 0.5481
Epoch 1/2... Discriminator Loss: 1.5169... Generator Loss: 0.6560
Epoch 1/2... Discriminator Loss: 1.4741... Generator Loss: 0.8625
Epoch 1/2... Discriminator Loss: 1.5020... Generator Loss: 0.6666
Epoch 1/2... Discriminator Loss: 1.4002... Generator Loss: 0.9144
Epoch 1/2... Discriminator Loss: 1.3334... Generator Loss: 1.0660
Epoch 1/2... Discriminator Loss: 1.3550... Generator Loss: 0.8234
Epoch 1/2... Discriminator Loss: 1.5105... Generator Loss: 0.6744
Epoch 1/2... Discriminator Loss: 1.4285... Generator Loss: 0.5364
Epoch 1/2... Discriminator Loss: 1.4733... Generator Loss: 0.5771
Epoch 1/2... Discriminator Loss: 1.3973... Generator Loss: 0.6968
Epoch 1/2... Discriminator Loss: 1.3926... Generator Loss: 0.6837
Epoch 1/2... Discriminator Loss: 1.3916... Generator Loss: 0.5921
Epoch 1/2... Discriminator Loss: 1.4253... Generator Loss: 0.6547
Epoch 1/2... Discriminator Loss: 1.3685... Generator Loss: 0.8543
Epoch 1/2... Discriminator Loss: 1.3255... Generator Loss: 0.9535
Epoch 1/2... Discriminator Loss: 1.3526... Generator Loss: 0.8172
Epoch 1/2... Discriminator Loss: 1.3330... Generator Loss: 0.7678
Epoch 1/2... Discriminator Loss: 1.5164... Generator Loss: 0.5366
Epoch 1/2... Discriminator Loss: 1.3419... Generator Loss: 0.6902
Epoch 1/2... Discriminator Loss: 1.3445... Generator Loss: 0.8953
Epoch 1/2... Discriminator Loss: 1.5086... Generator Loss: 0.5440
Epoch 1/2... Discriminator Loss: 1.5266... Generator Loss: 0.5200
Epoch 1/2... Discriminator Loss: 1.3930... Generator Loss: 0.7857
Epoch 1/2... Discriminator Loss: 1.3421... Generator Loss: 0.9170
Epoch 1/2... Discriminator Loss: 1.4505... Generator Loss: 0.6187
Epoch 1/2... Discriminator Loss: 1.4391... Generator Loss: 0.7361
Epoch 1/2... Discriminator Loss: 1.3691... Generator Loss: 0.6714
Epoch 1/2... Discriminator Loss: 1.4360... Generator Loss: 0.6513
Epoch 1/2... Discriminator Loss: 1.4366... Generator Loss: 0.5984
Epoch 1/2... Discriminator Loss: 1.4987... Generator Loss: 0.6157
Epoch 1/2... Discriminator Loss: 1.3599... Generator Loss: 0.8389
Epoch 1/2... Discriminator Loss: 1.4853... Generator Loss: 0.5200
Epoch 1/2... Discriminator Loss: 1.3656... Generator Loss: 0.6514
Epoch 1/2... Discriminator Loss: 1.3155... Generator Loss: 0.9636
Epoch 1/2... Discriminator Loss: 1.2760... Generator Loss: 1.0762
Epoch 1/2... Discriminator Loss: 1.4702... Generator Loss: 0.9117
Epoch 1/2... Discriminator Loss: 1.4652... Generator Loss: 0.6177
Epoch 1/2... Discriminator Loss: 1.4933... Generator Loss: 0.6474
Epoch 1/2... Discriminator Loss: 1.3023... Generator Loss: 1.1529
Epoch 1/2... Discriminator Loss: 1.3126... Generator Loss: 0.9222
Epoch 1/2... Discriminator Loss: 1.3883... Generator Loss: 0.9606
Epoch 1/2... Discriminator Loss: 1.3727... Generator Loss: 0.8012
Epoch 1/2... Discriminator Loss: 1.4049... Generator Loss: 0.9511
Epoch 1/2... Discriminator Loss: 1.2813... Generator Loss: 1.0169
Epoch 1/2... Discriminator Loss: 1.4673... Generator Loss: 0.5920
Epoch 1/2... Discriminator Loss: 1.4408... Generator Loss: 0.6621
Epoch 1/2... Discriminator Loss: 1.4610... Generator Loss: 0.5851
Epoch 1/2... Discriminator Loss: 1.4263... Generator Loss: 0.7316
Epoch 1/2... Discriminator Loss: 1.3907... Generator Loss: 0.6169
Epoch 1/2... Discriminator Loss: 1.3438... Generator Loss: 0.7040
Epoch 1/2... Discriminator Loss: 1.4046... Generator Loss: 0.5987
Epoch 1/2... Discriminator Loss: 1.3869... Generator Loss: 0.8858
Epoch 1/2... Discriminator Loss: 1.6898... Generator Loss: 0.4116
Epoch 1/2... Discriminator Loss: 1.3214... Generator Loss: 0.7896
Epoch 1/2... Discriminator Loss: 1.3858... Generator Loss: 0.7884
Epoch 1/2... Discriminator Loss: 1.3239... Generator Loss: 0.8986
Epoch 1/2... Discriminator Loss: 1.3949... Generator Loss: 0.6120
Epoch 1/2... Discriminator Loss: 1.5200... Generator Loss: 0.5060
Epoch 1/2... Discriminator Loss: 1.3343... Generator Loss: 0.7797
Epoch 1/2... Discriminator Loss: 1.4342... Generator Loss: 0.6276
Epoch 1/2... Discriminator Loss: 1.3810... Generator Loss: 0.6255
Epoch 1/2... Discriminator Loss: 1.3621... Generator Loss: 0.7790
Epoch 1/2... Discriminator Loss: 1.3491... Generator Loss: 0.7644
Epoch 1/2... Discriminator Loss: 1.4170... Generator Loss: 0.5715
Epoch 1/2... Discriminator Loss: 1.4720... Generator Loss: 0.5076
Epoch 1/2... Discriminator Loss: 1.3898... Generator Loss: 0.9304
Epoch 1/2... Discriminator Loss: 1.3890... Generator Loss: 0.6034
Epoch 1/2... Discriminator Loss: 1.4658... Generator Loss: 0.5322
Epoch 1/2... Discriminator Loss: 1.4371... Generator Loss: 0.7047
Epoch 1/2... Discriminator Loss: 1.4346... Generator Loss: 0.5447
Epoch 1/2... Discriminator Loss: 1.3581... Generator Loss: 0.9694
Epoch 1/2... Discriminator Loss: 1.3762... Generator Loss: 0.8696
Epoch 1/2... Discriminator Loss: 1.5238... Generator Loss: 0.5535
Epoch 1/2... Discriminator Loss: 1.4125... Generator Loss: 0.6420
Epoch 1/2... Discriminator Loss: 1.2659... Generator Loss: 0.8212
Epoch 1/2... Discriminator Loss: 1.5694... Generator Loss: 0.4664
Epoch 1/2... Discriminator Loss: 1.3673... Generator Loss: 0.9142
Epoch 1/2... Discriminator Loss: 1.4497... Generator Loss: 0.6895
Epoch 1/2... Discriminator Loss: 1.5754... Generator Loss: 0.4779
Epoch 1/2... Discriminator Loss: 1.3695... Generator Loss: 0.6764
Epoch 1/2... Discriminator Loss: 1.3206... Generator Loss: 0.7312
Epoch 1/2... Discriminator Loss: 1.4976... Generator Loss: 0.5600
Epoch 1/2... Discriminator Loss: 1.3096... Generator Loss: 0.7342
Epoch 1/2... Discriminator Loss: 1.4633... Generator Loss: 0.6722
Epoch 1/2... Discriminator Loss: 1.3776... Generator Loss: 0.5977
Epoch 1/2... Discriminator Loss: 1.4062... Generator Loss: 0.5333
Epoch 1/2... Discriminator Loss: 1.3132... Generator Loss: 0.8053
Epoch 1/2... Discriminator Loss: 1.3419... Generator Loss: 0.9027
Epoch 1/2... Discriminator Loss: 1.8822... Generator Loss: 0.2805
Epoch 1/2... Discriminator Loss: 1.3755... Generator Loss: 0.7232
Epoch 1/2... Discriminator Loss: 1.3902... Generator Loss: 0.6149
Epoch 1/2... Discriminator Loss: 1.3153... Generator Loss: 0.7956
Epoch 1/2... Discriminator Loss: 1.6014... Generator Loss: 1.4429
Epoch 1/2... Discriminator Loss: 1.3059... Generator Loss: 0.8277
Epoch 1/2... Discriminator Loss: 1.3958... Generator Loss: 0.6699
Epoch 1/2... Discriminator Loss: 1.4226... Generator Loss: 1.0418
Epoch 1/2... Discriminator Loss: 1.2474... Generator Loss: 1.2540
Epoch 1/2... Discriminator Loss: 1.2611... Generator Loss: 0.8828
Epoch 1/2... Discriminator Loss: 1.3947... Generator Loss: 0.7327
Epoch 1/2... Discriminator Loss: 1.4687... Generator Loss: 0.5579
Epoch 1/2... Discriminator Loss: 1.2237... Generator Loss: 0.9496
Epoch 1/2... Discriminator Loss: 1.4778... Generator Loss: 0.6947
Epoch 1/2... Discriminator Loss: 1.2814... Generator Loss: 0.9369
Epoch 1/2... Discriminator Loss: 1.2919... Generator Loss: 0.7885
Epoch 1/2... Discriminator Loss: 1.4097... Generator Loss: 0.7154
Epoch 1/2... Discriminator Loss: 1.4939... Generator Loss: 0.5136
Epoch 1/2... Discriminator Loss: 1.2555... Generator Loss: 0.8484
Epoch 1/2... Discriminator Loss: 1.2816... Generator Loss: 0.9634
Epoch 1/2... Discriminator Loss: 1.3203... Generator Loss: 0.6420
Epoch 1/2... Discriminator Loss: 1.3358... Generator Loss: 0.9807
Epoch 1/2... Discriminator Loss: 1.3338... Generator Loss: 0.7426
Epoch 1/2... Discriminator Loss: 1.4538... Generator Loss: 0.8988
Epoch 1/2... Discriminator Loss: 1.4160... Generator Loss: 0.7756
Epoch 1/2... Discriminator Loss: 1.4809... Generator Loss: 0.6117
Epoch 1/2... Discriminator Loss: 1.5754... Generator Loss: 0.6491
Epoch 1/2... Discriminator Loss: 1.2516... Generator Loss: 0.8698
Epoch 2/2... Discriminator Loss: 1.2608... Generator Loss: 0.7724
Epoch 2/2... Discriminator Loss: 1.1755... Generator Loss: 0.7934
Epoch 2/2... Discriminator Loss: 1.2429... Generator Loss: 0.8337
Epoch 2/2... Discriminator Loss: 1.3452... Generator Loss: 0.7428
Epoch 2/2... Discriminator Loss: 1.2771... Generator Loss: 0.8856
Epoch 2/2... Discriminator Loss: 1.3569... Generator Loss: 1.1728
Epoch 2/2... Discriminator Loss: 1.3571... Generator Loss: 0.6880
Epoch 2/2... Discriminator Loss: 1.2646... Generator Loss: 1.1297
Epoch 2/2... Discriminator Loss: 1.3972... Generator Loss: 0.5080
Epoch 2/2... Discriminator Loss: 1.3604... Generator Loss: 0.8153
Epoch 2/2... Discriminator Loss: 1.2679... Generator Loss: 1.0081
Epoch 2/2... Discriminator Loss: 1.3666... Generator Loss: 0.6308
Epoch 2/2... Discriminator Loss: 1.3099... Generator Loss: 0.8661
Epoch 2/2... Discriminator Loss: 1.1797... Generator Loss: 1.2073
Epoch 2/2... Discriminator Loss: 1.2726... Generator Loss: 0.7698
Epoch 2/2... Discriminator Loss: 1.3653... Generator Loss: 0.9737
Epoch 2/2... Discriminator Loss: 1.2468... Generator Loss: 1.0579
Epoch 2/2... Discriminator Loss: 1.4377... Generator Loss: 0.5084
Epoch 2/2... Discriminator Loss: 1.2506... Generator Loss: 0.7048
Epoch 2/2... Discriminator Loss: 1.2319... Generator Loss: 0.7421
Epoch 2/2... Discriminator Loss: 1.3814... Generator Loss: 0.8770
Epoch 2/2... Discriminator Loss: 1.2689... Generator Loss: 1.1697
Epoch 2/2... Discriminator Loss: 1.2276... Generator Loss: 1.0296
Epoch 2/2... Discriminator Loss: 1.8657... Generator Loss: 0.3087
Epoch 2/2... Discriminator Loss: 1.2043... Generator Loss: 0.9301
Epoch 2/2... Discriminator Loss: 1.2029... Generator Loss: 0.8718
Epoch 2/2... Discriminator Loss: 1.2137... Generator Loss: 1.1011
Epoch 2/2... Discriminator Loss: 1.5239... Generator Loss: 0.5194
Epoch 2/2... Discriminator Loss: 1.6661... Generator Loss: 0.3410
Epoch 2/2... Discriminator Loss: 1.3764... Generator Loss: 0.5780
Epoch 2/2... Discriminator Loss: 1.3445... Generator Loss: 0.6300
Epoch 2/2... Discriminator Loss: 1.1832... Generator Loss: 1.2668
Epoch 2/2... Discriminator Loss: 1.3788... Generator Loss: 0.8191
Epoch 2/2... Discriminator Loss: 1.2355... Generator Loss: 0.9256
Epoch 2/2... Discriminator Loss: 1.2175... Generator Loss: 0.7538
Epoch 2/2... Discriminator Loss: 1.2572... Generator Loss: 0.7521
Epoch 2/2... Discriminator Loss: 1.2253... Generator Loss: 0.7672
Epoch 2/2... Discriminator Loss: 1.3827... Generator Loss: 1.0453
Epoch 2/2... Discriminator Loss: 1.2963... Generator Loss: 0.8073
Epoch 2/2... Discriminator Loss: 1.3240... Generator Loss: 0.6345
Epoch 2/2... Discriminator Loss: 1.5700... Generator Loss: 1.8784
Epoch 2/2... Discriminator Loss: 1.2559... Generator Loss: 0.7779
Epoch 2/2... Discriminator Loss: 1.4714... Generator Loss: 0.5394
Epoch 2/2... Discriminator Loss: 1.2621... Generator Loss: 0.7492
Epoch 2/2... Discriminator Loss: 1.3767... Generator Loss: 1.2356
Epoch 2/2... Discriminator Loss: 1.2784... Generator Loss: 0.8696
Epoch 2/2... Discriminator Loss: 1.3448... Generator Loss: 1.2023
Epoch 2/2... Discriminator Loss: 1.2628... Generator Loss: 0.6205
Epoch 2/2... Discriminator Loss: 1.2556... Generator Loss: 0.8274
Epoch 2/2... Discriminator Loss: 1.2959... Generator Loss: 0.6498
Epoch 2/2... Discriminator Loss: 1.3102... Generator Loss: 1.4685
Epoch 2/2... Discriminator Loss: 1.2656... Generator Loss: 0.9554
Epoch 2/2... Discriminator Loss: 1.1527... Generator Loss: 0.9185
Epoch 2/2... Discriminator Loss: 1.1434... Generator Loss: 0.8316
Epoch 2/2... Discriminator Loss: 1.2949... Generator Loss: 0.7575
Epoch 2/2... Discriminator Loss: 1.5834... Generator Loss: 0.4514
Epoch 2/2... Discriminator Loss: 1.3034... Generator Loss: 0.8040
Epoch 2/2... Discriminator Loss: 1.2065... Generator Loss: 0.7813
Epoch 2/2... Discriminator Loss: 1.2378... Generator Loss: 1.1773
Epoch 2/2... Discriminator Loss: 1.4788... Generator Loss: 0.4915
Epoch 2/2... Discriminator Loss: 1.2587... Generator Loss: 0.7778
Epoch 2/2... Discriminator Loss: 1.2121... Generator Loss: 0.7594
Epoch 2/2... Discriminator Loss: 1.4230... Generator Loss: 1.2476
Epoch 2/2... Discriminator Loss: 1.1754... Generator Loss: 1.0966
Epoch 2/2... Discriminator Loss: 1.2754... Generator Loss: 0.7139
Epoch 2/2... Discriminator Loss: 1.2808... Generator Loss: 0.8083
Epoch 2/2... Discriminator Loss: 1.2691... Generator Loss: 1.3379
Epoch 2/2... Discriminator Loss: 1.3228... Generator Loss: 0.8407
Epoch 2/2... Discriminator Loss: 1.2166... Generator Loss: 0.7064
Epoch 2/2... Discriminator Loss: 1.1265... Generator Loss: 0.8292
Epoch 2/2... Discriminator Loss: 1.1687... Generator Loss: 1.4530
Epoch 2/2... Discriminator Loss: 1.4192... Generator Loss: 0.5288
Epoch 2/2... Discriminator Loss: 1.2148... Generator Loss: 0.7603
Epoch 2/2... Discriminator Loss: 1.4567... Generator Loss: 1.6116
Epoch 2/2... Discriminator Loss: 1.2101... Generator Loss: 0.7832
Epoch 2/2... Discriminator Loss: 1.2721... Generator Loss: 0.6451
Epoch 2/2... Discriminator Loss: 1.1796... Generator Loss: 0.7366
Epoch 2/2... Discriminator Loss: 1.2161... Generator Loss: 0.8526
Epoch 2/2... Discriminator Loss: 1.3332... Generator Loss: 0.6032
Epoch 2/2... Discriminator Loss: 1.3758... Generator Loss: 0.5637
Epoch 2/2... Discriminator Loss: 1.1108... Generator Loss: 1.3715
Epoch 2/2... Discriminator Loss: 1.1102... Generator Loss: 1.1001
Epoch 2/2... Discriminator Loss: 1.4225... Generator Loss: 0.4310
Epoch 2/2... Discriminator Loss: 1.0370... Generator Loss: 1.1155
Epoch 2/2... Discriminator Loss: 1.2625... Generator Loss: 1.1696
Epoch 2/2... Discriminator Loss: 1.2513... Generator Loss: 1.0720
Epoch 2/2... Discriminator Loss: 1.1499... Generator Loss: 0.8245
Epoch 2/2... Discriminator Loss: 1.1951... Generator Loss: 0.6900
Epoch 2/2... Discriminator Loss: 1.3102... Generator Loss: 0.6930
Epoch 2/2... Discriminator Loss: 1.1299... Generator Loss: 1.0166
Epoch 2/2... Discriminator Loss: 1.2361... Generator Loss: 0.8136
Epoch 2/2... Discriminator Loss: 1.5237... Generator Loss: 0.5951
Epoch 2/2... Discriminator Loss: 1.2006... Generator Loss: 0.7159
Epoch 2/2... Discriminator Loss: 1.3440... Generator Loss: 0.8489
Epoch 2/2... Discriminator Loss: 1.0578... Generator Loss: 1.0031
Epoch 2/2... Discriminator Loss: 1.0713... Generator Loss: 0.9902
Epoch 2/2... Discriminator Loss: 1.1496... Generator Loss: 1.1495
Epoch 2/2... Discriminator Loss: 1.4657... Generator Loss: 0.5832
Epoch 2/2... Discriminator Loss: 1.2144... Generator Loss: 0.8608
Epoch 2/2... Discriminator Loss: 1.0803... Generator Loss: 1.3562
Epoch 2/2... Discriminator Loss: 1.0249... Generator Loss: 1.1100
Epoch 2/2... Discriminator Loss: 1.1629... Generator Loss: 1.4264
Epoch 2/2... Discriminator Loss: 1.2944... Generator Loss: 0.6427
Epoch 2/2... Discriminator Loss: 1.2608... Generator Loss: 0.9077
Epoch 2/2... Discriminator Loss: 1.2313... Generator Loss: 0.6611
Epoch 2/2... Discriminator Loss: 1.4999... Generator Loss: 0.6055
Epoch 2/2... Discriminator Loss: 1.2125... Generator Loss: 0.6975
Epoch 2/2... Discriminator Loss: 0.9858... Generator Loss: 1.1538
Epoch 2/2... Discriminator Loss: 0.8884... Generator Loss: 1.4600
Epoch 2/2... Discriminator Loss: 1.5759... Generator Loss: 1.7448
Epoch 2/2... Discriminator Loss: 1.2151... Generator Loss: 0.9633
Epoch 2/2... Discriminator Loss: 1.0984... Generator Loss: 0.8804
Epoch 2/2... Discriminator Loss: 1.0782... Generator Loss: 1.1503
Epoch 2/2... Discriminator Loss: 1.2345... Generator Loss: 0.7763
Epoch 2/2... Discriminator Loss: 1.2078... Generator Loss: 1.3289
Epoch 2/2... Discriminator Loss: 1.0611... Generator Loss: 1.0885
Epoch 2/2... Discriminator Loss: 1.2105... Generator Loss: 0.6823
Epoch 2/2... Discriminator Loss: 1.2285... Generator Loss: 0.6578
Epoch 2/2... Discriminator Loss: 1.1790... Generator Loss: 0.7885
Epoch 2/2... Discriminator Loss: 1.0917... Generator Loss: 0.8117
Epoch 2/2... Discriminator Loss: 1.1454... Generator Loss: 1.1514
Epoch 2/2... Discriminator Loss: 1.1797... Generator Loss: 0.8915
Epoch 2/2... Discriminator Loss: 1.2810... Generator Loss: 0.6923
Epoch 2/2... Discriminator Loss: 1.0056... Generator Loss: 0.8666
Epoch 2/2... Discriminator Loss: 1.3296... Generator Loss: 0.9057
Epoch 2/2... Discriminator Loss: 1.5094... Generator Loss: 0.5716
Epoch 2/2... Discriminator Loss: 1.2266... Generator Loss: 0.8139
Epoch 2/2... Discriminator Loss: 1.0188... Generator Loss: 1.1637
Epoch 2/2... Discriminator Loss: 1.0425... Generator Loss: 1.0932
Epoch 2/2... Discriminator Loss: 1.2695... Generator Loss: 0.6677
Epoch 2/2... Discriminator Loss: 1.4347... Generator Loss: 0.5458
Epoch 2/2... Discriminator Loss: 1.0252... Generator Loss: 1.0092
Epoch 2/2... Discriminator Loss: 1.1691... Generator Loss: 0.7533
Epoch 2/2... Discriminator Loss: 1.2892... Generator Loss: 0.6984
Epoch 2/2... Discriminator Loss: 1.1786... Generator Loss: 0.9502
Epoch 2/2... Discriminator Loss: 1.1870... Generator Loss: 0.8253
Epoch 2/2... Discriminator Loss: 1.3603... Generator Loss: 1.3594
Epoch 2/2... Discriminator Loss: 1.3266... Generator Loss: 0.6449
Epoch 2/2... Discriminator Loss: 0.8985... Generator Loss: 1.0540
Epoch 2/2... Discriminator Loss: 1.1953... Generator Loss: 0.8031
Epoch 2/2... Discriminator Loss: 1.9539... Generator Loss: 2.2728
Epoch 2/2... Discriminator Loss: 1.1673... Generator Loss: 0.8965
Epoch 2/2... Discriminator Loss: 1.1966... Generator Loss: 0.7365
Epoch 2/2... Discriminator Loss: 1.0496... Generator Loss: 1.3325
Epoch 2/2... Discriminator Loss: 1.1358... Generator Loss: 1.3885
Epoch 2/2... Discriminator Loss: 1.3154... Generator Loss: 1.3709
Epoch 2/2... Discriminator Loss: 1.1680... Generator Loss: 0.6300
Epoch 2/2... Discriminator Loss: 1.4251... Generator Loss: 1.8951
Epoch 2/2... Discriminator Loss: 1.2109... Generator Loss: 1.4865
Epoch 2/2... Discriminator Loss: 1.1244... Generator Loss: 1.1430
Epoch 2/2... Discriminator Loss: 1.1240... Generator Loss: 1.3116
Epoch 2/2... Discriminator Loss: 1.0794... Generator Loss: 0.9863
Epoch 2/2... Discriminator Loss: 1.1930... Generator Loss: 0.7228
Epoch 2/2... Discriminator Loss: 1.7191... Generator Loss: 0.4078
Epoch 2/2... Discriminator Loss: 1.0792... Generator Loss: 0.8832
Epoch 2/2... Discriminator Loss: 1.7902... Generator Loss: 0.3504
Epoch 2/2... Discriminator Loss: 1.1904... Generator Loss: 0.7974
Epoch 2/2... Discriminator Loss: 0.9985... Generator Loss: 1.3498
Epoch 2/2... Discriminator Loss: 1.1812... Generator Loss: 1.1976
Epoch 2/2... Discriminator Loss: 1.0249... Generator Loss: 0.8385
Epoch 2/2... Discriminator Loss: 1.1816... Generator Loss: 0.6996
Epoch 2/2... Discriminator Loss: 1.1319... Generator Loss: 1.0218
Epoch 2/2... Discriminator Loss: 1.1850... Generator Loss: 0.9336
Epoch 2/2... Discriminator Loss: 0.8355... Generator Loss: 1.3394
Epoch 2/2... Discriminator Loss: 1.2582... Generator Loss: 0.6621
Epoch 2/2... Discriminator Loss: 1.2101... Generator Loss: 1.2329
Epoch 2/2... Discriminator Loss: 0.9614... Generator Loss: 1.3975
Epoch 2/2... Discriminator Loss: 0.8998... Generator Loss: 0.9906
Epoch 2/2... Discriminator Loss: 1.8203... Generator Loss: 0.3267
Epoch 2/2... Discriminator Loss: 1.0807... Generator Loss: 0.9266
Epoch 2/2... Discriminator Loss: 1.0771... Generator Loss: 2.4577
Epoch 2/2... Discriminator Loss: 1.2200... Generator Loss: 0.5704
Epoch 2/2... Discriminator Loss: 1.1828... Generator Loss: 0.8885
Epoch 2/2... Discriminator Loss: 0.9582... Generator Loss: 0.9103
Epoch 2/2... Discriminator Loss: 1.0890... Generator Loss: 0.9484
Epoch 2/2... Discriminator Loss: 1.0409... Generator Loss: 1.3056
Epoch 2/2... Discriminator Loss: 1.5024... Generator Loss: 0.5021
Epoch 2/2... Discriminator Loss: 0.9702... Generator Loss: 1.2465
Epoch 2/2... Discriminator Loss: 1.2150... Generator Loss: 0.7603
Epoch 2/2... Discriminator Loss: 1.4006... Generator Loss: 1.1789
Epoch 2/2... Discriminator Loss: 1.3188... Generator Loss: 0.6181
Epoch 2/2... Discriminator Loss: 1.1251... Generator Loss: 0.9700
Epoch 2/2... Discriminator Loss: 1.1612... Generator Loss: 1.2257
Epoch 2/2... Discriminator Loss: 1.0076... Generator Loss: 1.7827
Epoch 2/2... Discriminator Loss: 1.1028... Generator Loss: 0.7831
Epoch 2/2... Discriminator Loss: 0.8997... Generator Loss: 1.1410
Epoch 2/2... Discriminator Loss: 1.5705... Generator Loss: 0.4847
Epoch 2/2... Discriminator Loss: 1.5480... Generator Loss: 0.4898

CelebA

Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.

In [13]:
batch_size = 16
z_dim = 200
learning_rate = 0.0004
beta1 = 0.45



"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1

celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
          celeba_dataset.shape, celeba_dataset.image_mode)
Epoch 1/1... Discriminator Loss: 0.7111... Generator Loss: 8.8032
Epoch 1/1... Discriminator Loss: 1.2310... Generator Loss: 0.6278
Epoch 1/1... Discriminator Loss: 0.6307... Generator Loss: 10.4615
Epoch 1/1... Discriminator Loss: 1.0927... Generator Loss: 1.1114
Epoch 1/1... Discriminator Loss: 0.6131... Generator Loss: 10.0408
Epoch 1/1... Discriminator Loss: 1.2564... Generator Loss: 0.9950
Epoch 1/1... Discriminator Loss: 0.9818... Generator Loss: 1.9254
Epoch 1/1... Discriminator Loss: 1.2738... Generator Loss: 0.6514
Epoch 1/1... Discriminator Loss: 2.3717... Generator Loss: 0.3338
Epoch 1/1... Discriminator Loss: 2.1483... Generator Loss: 0.2780
Epoch 1/1... Discriminator Loss: 1.2072... Generator Loss: 2.5161
Epoch 1/1... Discriminator Loss: 1.7830... Generator Loss: 0.6021
Epoch 1/1... Discriminator Loss: 2.6491... Generator Loss: 0.2967
Epoch 1/1... Discriminator Loss: 1.7292... Generator Loss: 0.8855
Epoch 1/1... Discriminator Loss: 1.2702... Generator Loss: 0.6542
Epoch 1/1... Discriminator Loss: 2.2512... Generator Loss: 0.2395
Epoch 1/1... Discriminator Loss: 1.3246... Generator Loss: 1.4847
Epoch 1/1... Discriminator Loss: 1.4811... Generator Loss: 0.9433
Epoch 1/1... Discriminator Loss: 1.3284... Generator Loss: 0.8191
Epoch 1/1... Discriminator Loss: 1.2269... Generator Loss: 0.7647
Epoch 1/1... Discriminator Loss: 1.1295... Generator Loss: 0.6036
Epoch 1/1... Discriminator Loss: 1.0377... Generator Loss: 1.0534
Epoch 1/1... Discriminator Loss: 1.4719... Generator Loss: 0.4355
Epoch 1/1... Discriminator Loss: 2.0464... Generator Loss: 0.3958
Epoch 1/1... Discriminator Loss: 1.4224... Generator Loss: 1.1110
Epoch 1/1... Discriminator Loss: 1.4440... Generator Loss: 0.7713
Epoch 1/1... Discriminator Loss: 1.7322... Generator Loss: 0.4374
Epoch 1/1... Discriminator Loss: 1.4006... Generator Loss: 1.4456
Epoch 1/1... Discriminator Loss: 1.4045... Generator Loss: 1.1228
Epoch 1/1... Discriminator Loss: 1.1795... Generator Loss: 0.6843
Epoch 1/1... Discriminator Loss: 1.5162... Generator Loss: 0.5535
Epoch 1/1... Discriminator Loss: 1.3322... Generator Loss: 0.7564
Epoch 1/1... Discriminator Loss: 1.5051... Generator Loss: 0.4036
Epoch 1/1... Discriminator Loss: 2.2471... Generator Loss: 0.2224
Epoch 1/1... Discriminator Loss: 1.3228... Generator Loss: 0.9867
Epoch 1/1... Discriminator Loss: 1.4031... Generator Loss: 0.8858
Epoch 1/1... Discriminator Loss: 1.4253... Generator Loss: 0.7004
Epoch 1/1... Discriminator Loss: 1.0711... Generator Loss: 1.6718
Epoch 1/1... Discriminator Loss: 1.3064... Generator Loss: 0.8180
Epoch 1/1... Discriminator Loss: 1.0840... Generator Loss: 1.1048
Epoch 1/1... Discriminator Loss: 1.1549... Generator Loss: 1.7995
Epoch 1/1... Discriminator Loss: 0.9555... Generator Loss: 1.0695
Epoch 1/1... Discriminator Loss: 1.4394... Generator Loss: 1.9992
Epoch 1/1... Discriminator Loss: 2.5174... Generator Loss: 0.1469
Epoch 1/1... Discriminator Loss: 2.2220... Generator Loss: 0.4240
Epoch 1/1... Discriminator Loss: 1.5804... Generator Loss: 1.0291
Epoch 1/1... Discriminator Loss: 1.5016... Generator Loss: 1.2677
Epoch 1/1... Discriminator Loss: 0.9847... Generator Loss: 1.3077
Epoch 1/1... Discriminator Loss: 1.4223... Generator Loss: 0.5593
Epoch 1/1... Discriminator Loss: 1.0237... Generator Loss: 1.0063
Epoch 1/1... Discriminator Loss: 1.4876... Generator Loss: 1.5526
Epoch 1/1... Discriminator Loss: 1.4830... Generator Loss: 0.5263
Epoch 1/1... Discriminator Loss: 1.1597... Generator Loss: 0.6884
Epoch 1/1... Discriminator Loss: 1.2347... Generator Loss: 0.8949
Epoch 1/1... Discriminator Loss: 1.0869... Generator Loss: 2.5118
Epoch 1/1... Discriminator Loss: 1.2867... Generator Loss: 1.2488
Epoch 1/1... Discriminator Loss: 1.7717... Generator Loss: 0.3555
Epoch 1/1... Discriminator Loss: 1.9820... Generator Loss: 0.3220
Epoch 1/1... Discriminator Loss: 1.4659... Generator Loss: 0.6703
Epoch 1/1... Discriminator Loss: 1.0436... Generator Loss: 1.2302
Epoch 1/1... Discriminator Loss: 1.4419... Generator Loss: 1.1844
Epoch 1/1... Discriminator Loss: 1.4874... Generator Loss: 0.6728
Epoch 1/1... Discriminator Loss: 0.7063... Generator Loss: 2.3695
Epoch 1/1... Discriminator Loss: 1.2019... Generator Loss: 1.1505
Epoch 1/1... Discriminator Loss: 1.5428... Generator Loss: 0.5204
Epoch 1/1... Discriminator Loss: 1.4603... Generator Loss: 0.5549
Epoch 1/1... Discriminator Loss: 1.0607... Generator Loss: 1.5063
Epoch 1/1... Discriminator Loss: 1.3636... Generator Loss: 0.6894
Epoch 1/1... Discriminator Loss: 1.2914... Generator Loss: 1.1275
Epoch 1/1... Discriminator Loss: 1.4541... Generator Loss: 0.6108
Epoch 1/1... Discriminator Loss: 1.4273... Generator Loss: 0.9612
Epoch 1/1... Discriminator Loss: 1.5169... Generator Loss: 0.5014
Epoch 1/1... Discriminator Loss: 1.6749... Generator Loss: 0.4075
Epoch 1/1... Discriminator Loss: 1.2481... Generator Loss: 0.9400
Epoch 1/1... Discriminator Loss: 1.8021... Generator Loss: 0.4369
Epoch 1/1... Discriminator Loss: 1.6693... Generator Loss: 0.4710
Epoch 1/1... Discriminator Loss: 1.2301... Generator Loss: 1.2988
Epoch 1/1... Discriminator Loss: 0.9256... Generator Loss: 1.0512
Epoch 1/1... Discriminator Loss: 1.9499... Generator Loss: 0.3452
Epoch 1/1... Discriminator Loss: 0.9974... Generator Loss: 1.2527
Epoch 1/1... Discriminator Loss: 2.1496... Generator Loss: 0.2501
Epoch 1/1... Discriminator Loss: 1.2261... Generator Loss: 0.9501
Epoch 1/1... Discriminator Loss: 1.1699... Generator Loss: 0.9005
Epoch 1/1... Discriminator Loss: 0.6378... Generator Loss: 1.5616
Epoch 1/1... Discriminator Loss: 1.1636... Generator Loss: 1.3278
Epoch 1/1... Discriminator Loss: 1.1100... Generator Loss: 0.8161
Epoch 1/1... Discriminator Loss: 1.4771... Generator Loss: 0.7573
Epoch 1/1... Discriminator Loss: 1.1750... Generator Loss: 0.6570
Epoch 1/1... Discriminator Loss: 1.6157... Generator Loss: 0.7176
Epoch 1/1... Discriminator Loss: 1.7470... Generator Loss: 0.5570
Epoch 1/1... Discriminator Loss: 1.4765... Generator Loss: 0.5543
Epoch 1/1... Discriminator Loss: 1.5463... Generator Loss: 0.3922
Epoch 1/1... Discriminator Loss: 1.1967... Generator Loss: 0.7111
Epoch 1/1... Discriminator Loss: 1.8007... Generator Loss: 0.5920
Epoch 1/1... Discriminator Loss: 1.4994... Generator Loss: 0.7744
Epoch 1/1... Discriminator Loss: 1.7395... Generator Loss: 0.3896
Epoch 1/1... Discriminator Loss: 1.4159... Generator Loss: 1.0439
Epoch 1/1... Discriminator Loss: 1.6145... Generator Loss: 0.7751
Epoch 1/1... Discriminator Loss: 1.3451... Generator Loss: 0.6141
Epoch 1/1... Discriminator Loss: 1.5103... Generator Loss: 0.5794
Epoch 1/1... Discriminator Loss: 1.2406... Generator Loss: 0.8090
Epoch 1/1... Discriminator Loss: 1.3620... Generator Loss: 0.8253
Epoch 1/1... Discriminator Loss: 1.3658... Generator Loss: 0.5736
Epoch 1/1... Discriminator Loss: 1.5540... Generator Loss: 0.4507
Epoch 1/1... Discriminator Loss: 1.8246... Generator Loss: 0.5585
Epoch 1/1... Discriminator Loss: 1.3386... Generator Loss: 1.5078
Epoch 1/1... Discriminator Loss: 1.5874... Generator Loss: 0.8031
Epoch 1/1... Discriminator Loss: 1.0833... Generator Loss: 0.9276
Epoch 1/1... Discriminator Loss: 1.3084... Generator Loss: 1.0012
Epoch 1/1... Discriminator Loss: 1.5622... Generator Loss: 0.5763
Epoch 1/1... Discriminator Loss: 1.5194... Generator Loss: 0.6741
Epoch 1/1... Discriminator Loss: 1.3832... Generator Loss: 0.5684
Epoch 1/1... Discriminator Loss: 1.6563... Generator Loss: 0.3466
Epoch 1/1... Discriminator Loss: 1.2388... Generator Loss: 0.5798
Epoch 1/1... Discriminator Loss: 1.0201... Generator Loss: 1.6579
Epoch 1/1... Discriminator Loss: 1.0757... Generator Loss: 1.0425
Epoch 1/1... Discriminator Loss: 1.4697... Generator Loss: 0.5326
Epoch 1/1... Discriminator Loss: 1.9274... Generator Loss: 0.3524
Epoch 1/1... Discriminator Loss: 1.5857... Generator Loss: 0.5805
Epoch 1/1... Discriminator Loss: 1.7310... Generator Loss: 0.4904
Epoch 1/1... Discriminator Loss: 1.8068... Generator Loss: 0.4159
Epoch 1/1... Discriminator Loss: 1.5764... Generator Loss: 0.6727
Epoch 1/1... Discriminator Loss: 1.2944... Generator Loss: 0.9615
Epoch 1/1... Discriminator Loss: 1.3381... Generator Loss: 0.9273
Epoch 1/1... Discriminator Loss: 1.1994... Generator Loss: 0.9461
Epoch 1/1... Discriminator Loss: 1.4232... Generator Loss: 0.6066
Epoch 1/1... Discriminator Loss: 1.3908... Generator Loss: 0.8220
Epoch 1/1... Discriminator Loss: 1.1972... Generator Loss: 0.8321
Epoch 1/1... Discriminator Loss: 1.5928... Generator Loss: 0.5790
Epoch 1/1... Discriminator Loss: 1.3846... Generator Loss: 0.7667
Epoch 1/1... Discriminator Loss: 1.4635... Generator Loss: 0.7974
Epoch 1/1... Discriminator Loss: 1.3935... Generator Loss: 0.7405
Epoch 1/1... Discriminator Loss: 1.4636... Generator Loss: 0.8313
Epoch 1/1... Discriminator Loss: 1.2598... Generator Loss: 0.6788
Epoch 1/1... Discriminator Loss: 1.5300... Generator Loss: 0.6646
Epoch 1/1... Discriminator Loss: 1.7427... Generator Loss: 0.4846
Epoch 1/1... Discriminator Loss: 1.4306... Generator Loss: 0.5550
Epoch 1/1... Discriminator Loss: 1.4740... Generator Loss: 0.5604
Epoch 1/1... Discriminator Loss: 1.3542... Generator Loss: 0.7486
Epoch 1/1... Discriminator Loss: 1.6526... Generator Loss: 0.7718
Epoch 1/1... Discriminator Loss: 1.4850... Generator Loss: 0.8033
Epoch 1/1... Discriminator Loss: 1.5660... Generator Loss: 0.4811
Epoch 1/1... Discriminator Loss: 1.5050... Generator Loss: 0.9038
Epoch 1/1... Discriminator Loss: 1.2842... Generator Loss: 0.6873
Epoch 1/1... Discriminator Loss: 1.4513... Generator Loss: 0.7293
Epoch 1/1... Discriminator Loss: 1.0808... Generator Loss: 1.0191
Epoch 1/1... Discriminator Loss: 1.5796... Generator Loss: 0.7291
Epoch 1/1... Discriminator Loss: 1.5589... Generator Loss: 0.7410
Epoch 1/1... Discriminator Loss: 1.2521... Generator Loss: 0.5863
Epoch 1/1... Discriminator Loss: 1.3136... Generator Loss: 0.6223
Epoch 1/1... Discriminator Loss: 1.2965... Generator Loss: 0.8256
Epoch 1/1... Discriminator Loss: 1.2868... Generator Loss: 0.6381
Epoch 1/1... Discriminator Loss: 1.4155... Generator Loss: 0.8140
Epoch 1/1... Discriminator Loss: 1.1918... Generator Loss: 0.9053
Epoch 1/1... Discriminator Loss: 1.2612... Generator Loss: 0.8649
Epoch 1/1... Discriminator Loss: 1.2887... Generator Loss: 0.8237
Epoch 1/1... Discriminator Loss: 1.1101... Generator Loss: 0.9278
Epoch 1/1... Discriminator Loss: 1.2983... Generator Loss: 1.2386
Epoch 1/1... Discriminator Loss: 1.3975... Generator Loss: 0.5246
Epoch 1/1... Discriminator Loss: 1.3055... Generator Loss: 0.8787
Epoch 1/1... Discriminator Loss: 1.4420... Generator Loss: 0.8093
Epoch 1/1... Discriminator Loss: 1.3776... Generator Loss: 0.7967
Epoch 1/1... Discriminator Loss: 1.7797... Generator Loss: 0.4916
Epoch 1/1... Discriminator Loss: 1.6607... Generator Loss: 0.5943
Epoch 1/1... Discriminator Loss: 1.2009... Generator Loss: 1.1167
Epoch 1/1... Discriminator Loss: 1.6495... Generator Loss: 0.5356
Epoch 1/1... Discriminator Loss: 1.2586... Generator Loss: 0.8324
Epoch 1/1... Discriminator Loss: 1.3072... Generator Loss: 1.0268
Epoch 1/1... Discriminator Loss: 1.4118... Generator Loss: 0.7563
Epoch 1/1... Discriminator Loss: 1.1225... Generator Loss: 1.0272
Epoch 1/1... Discriminator Loss: 1.7533... Generator Loss: 0.4346
Epoch 1/1... Discriminator Loss: 1.4162... Generator Loss: 0.8377
Epoch 1/1... Discriminator Loss: 1.1356... Generator Loss: 0.8542
Epoch 1/1... Discriminator Loss: 1.2903... Generator Loss: 0.8695
Epoch 1/1... Discriminator Loss: 1.2381... Generator Loss: 0.9197
Epoch 1/1... Discriminator Loss: 1.4510... Generator Loss: 0.7731
Epoch 1/1... Discriminator Loss: 1.4372... Generator Loss: 0.5182
Epoch 1/1... Discriminator Loss: 1.3265... Generator Loss: 0.9818
Epoch 1/1... Discriminator Loss: 1.2734... Generator Loss: 0.8825
Epoch 1/1... Discriminator Loss: 1.2676... Generator Loss: 0.7911
Epoch 1/1... Discriminator Loss: 1.2769... Generator Loss: 0.8486
Epoch 1/1... Discriminator Loss: 1.7165... Generator Loss: 0.8634
Epoch 1/1... Discriminator Loss: 1.3916... Generator Loss: 0.6872
Epoch 1/1... Discriminator Loss: 1.4491... Generator Loss: 0.5524
Epoch 1/1... Discriminator Loss: 1.3682... Generator Loss: 1.0151
Epoch 1/1... Discriminator Loss: 1.2962... Generator Loss: 0.7910
Epoch 1/1... Discriminator Loss: 0.9194... Generator Loss: 1.3016
Epoch 1/1... Discriminator Loss: 1.5862... Generator Loss: 0.6097
Epoch 1/1... Discriminator Loss: 1.2677... Generator Loss: 0.9452
Epoch 1/1... Discriminator Loss: 0.8724... Generator Loss: 2.0943
Epoch 1/1... Discriminator Loss: 1.3446... Generator Loss: 0.6652
Epoch 1/1... Discriminator Loss: 1.3482... Generator Loss: 0.8913
Epoch 1/1... Discriminator Loss: 1.4255... Generator Loss: 0.6487
Epoch 1/1... Discriminator Loss: 1.4698... Generator Loss: 0.5408
Epoch 1/1... Discriminator Loss: 1.3704... Generator Loss: 0.5953
Epoch 1/1... Discriminator Loss: 1.2137... Generator Loss: 0.6508
Epoch 1/1... Discriminator Loss: 1.4402... Generator Loss: 0.5555
Epoch 1/1... Discriminator Loss: 1.3938... Generator Loss: 0.6818
Epoch 1/1... Discriminator Loss: 1.6381... Generator Loss: 0.4713
Epoch 1/1... Discriminator Loss: 0.9733... Generator Loss: 1.3909
Epoch 1/1... Discriminator Loss: 1.3570... Generator Loss: 0.8923
Epoch 1/1... Discriminator Loss: 1.4307... Generator Loss: 0.9276
Epoch 1/1... Discriminator Loss: 1.4900... Generator Loss: 0.5675
Epoch 1/1... Discriminator Loss: 1.2468... Generator Loss: 0.7661
Epoch 1/1... Discriminator Loss: 1.4183... Generator Loss: 0.6903
Epoch 1/1... Discriminator Loss: 1.4923... Generator Loss: 0.7612
Epoch 1/1... Discriminator Loss: 1.3614... Generator Loss: 1.2411
Epoch 1/1... Discriminator Loss: 1.3362... Generator Loss: 1.1351
Epoch 1/1... Discriminator Loss: 1.3389... Generator Loss: 0.7327
Epoch 1/1... Discriminator Loss: 1.3252... Generator Loss: 0.6893
Epoch 1/1... Discriminator Loss: 1.4864... Generator Loss: 0.8132
Epoch 1/1... Discriminator Loss: 1.2202... Generator Loss: 0.7171
Epoch 1/1... Discriminator Loss: 1.6012... Generator Loss: 0.5095
Epoch 1/1... Discriminator Loss: 1.4319... Generator Loss: 0.7401
Epoch 1/1... Discriminator Loss: 1.2881... Generator Loss: 0.5950
Epoch 1/1... Discriminator Loss: 1.2763... Generator Loss: 0.6709
Epoch 1/1... Discriminator Loss: 1.7846... Generator Loss: 0.4675
Epoch 1/1... Discriminator Loss: 1.3731... Generator Loss: 0.7457
Epoch 1/1... Discriminator Loss: 1.3343... Generator Loss: 0.9079
Epoch 1/1... Discriminator Loss: 1.1836... Generator Loss: 0.8831
Epoch 1/1... Discriminator Loss: 1.1658... Generator Loss: 0.8666
Epoch 1/1... Discriminator Loss: 1.6110... Generator Loss: 0.5235
Epoch 1/1... Discriminator Loss: 1.3041... Generator Loss: 1.0229
Epoch 1/1... Discriminator Loss: 1.3694... Generator Loss: 0.7169
Epoch 1/1... Discriminator Loss: 1.4629... Generator Loss: 0.7095
Epoch 1/1... Discriminator Loss: 1.4592... Generator Loss: 0.5687
Epoch 1/1... Discriminator Loss: 1.3479... Generator Loss: 0.6440
Epoch 1/1... Discriminator Loss: 1.5412... Generator Loss: 0.4925
Epoch 1/1... Discriminator Loss: 1.3628... Generator Loss: 0.9051
Epoch 1/1... Discriminator Loss: 1.2498... Generator Loss: 0.7687
Epoch 1/1... Discriminator Loss: 1.4764... Generator Loss: 0.5277
Epoch 1/1... Discriminator Loss: 1.5371... Generator Loss: 0.5952
Epoch 1/1... Discriminator Loss: 1.4231... Generator Loss: 0.6301
Epoch 1/1... Discriminator Loss: 1.5516... Generator Loss: 0.7251
Epoch 1/1... Discriminator Loss: 1.7908... Generator Loss: 0.4901
Epoch 1/1... Discriminator Loss: 1.4936... Generator Loss: 0.4500
Epoch 1/1... Discriminator Loss: 1.3906... Generator Loss: 0.7588
Epoch 1/1... Discriminator Loss: 1.8930... Generator Loss: 0.4168
Epoch 1/1... Discriminator Loss: 1.2918... Generator Loss: 0.7892
Epoch 1/1... Discriminator Loss: 1.2391... Generator Loss: 0.7180
Epoch 1/1... Discriminator Loss: 1.1970... Generator Loss: 0.9342
Epoch 1/1... Discriminator Loss: 1.4659... Generator Loss: 0.7231
Epoch 1/1... Discriminator Loss: 1.6904... Generator Loss: 0.5376
Epoch 1/1... Discriminator Loss: 1.2542... Generator Loss: 0.7846
Epoch 1/1... Discriminator Loss: 1.4850... Generator Loss: 0.7587
Epoch 1/1... Discriminator Loss: 1.3158... Generator Loss: 0.7555
Epoch 1/1... Discriminator Loss: 1.4452... Generator Loss: 0.6196
Epoch 1/1... Discriminator Loss: 1.3796... Generator Loss: 0.6081
Epoch 1/1... Discriminator Loss: 1.6017... Generator Loss: 0.6651
Epoch 1/1... Discriminator Loss: 1.3720... Generator Loss: 0.6541
Epoch 1/1... Discriminator Loss: 1.4103... Generator Loss: 0.7966
Epoch 1/1... Discriminator Loss: 1.3269... Generator Loss: 0.8549
Epoch 1/1... Discriminator Loss: 1.3725... Generator Loss: 0.7388
Epoch 1/1... Discriminator Loss: 1.2928... Generator Loss: 0.6151
Epoch 1/1... Discriminator Loss: 1.6394... Generator Loss: 0.6740
Epoch 1/1... Discriminator Loss: 1.2422... Generator Loss: 0.8866
Epoch 1/1... Discriminator Loss: 1.2287... Generator Loss: 0.7606
Epoch 1/1... Discriminator Loss: 1.6044... Generator Loss: 0.5027
Epoch 1/1... Discriminator Loss: 1.5709... Generator Loss: 0.6455
Epoch 1/1... Discriminator Loss: 1.4331... Generator Loss: 0.5415
Epoch 1/1... Discriminator Loss: 1.5059... Generator Loss: 0.6311
Epoch 1/1... Discriminator Loss: 1.3309... Generator Loss: 0.6425
Epoch 1/1... Discriminator Loss: 1.2667... Generator Loss: 0.8362
Epoch 1/1... Discriminator Loss: 1.4496... Generator Loss: 1.0380
Epoch 1/1... Discriminator Loss: 1.4810... Generator Loss: 0.6147
Epoch 1/1... Discriminator Loss: 1.3784... Generator Loss: 0.7560
Epoch 1/1... Discriminator Loss: 1.3870... Generator Loss: 0.6021
Epoch 1/1... Discriminator Loss: 1.5069... Generator Loss: 0.6615
Epoch 1/1... Discriminator Loss: 1.5112... Generator Loss: 0.5366
Epoch 1/1... Discriminator Loss: 1.5393... Generator Loss: 0.6375
Epoch 1/1... Discriminator Loss: 1.4304... Generator Loss: 1.0081
Epoch 1/1... Discriminator Loss: 1.4634... Generator Loss: 0.6606
Epoch 1/1... Discriminator Loss: 1.2342... Generator Loss: 0.8640
Epoch 1/1... Discriminator Loss: 1.5168... Generator Loss: 0.6173
Epoch 1/1... Discriminator Loss: 1.9033... Generator Loss: 0.3881
Epoch 1/1... Discriminator Loss: 1.4588... Generator Loss: 0.6480
Epoch 1/1... Discriminator Loss: 1.6532... Generator Loss: 0.4954
Epoch 1/1... Discriminator Loss: 1.4131... Generator Loss: 0.9048
Epoch 1/1... Discriminator Loss: 1.1463... Generator Loss: 0.7860
Epoch 1/1... Discriminator Loss: 1.6675... Generator Loss: 0.4991
Epoch 1/1... Discriminator Loss: 1.2411... Generator Loss: 0.8235
Epoch 1/1... Discriminator Loss: 1.3637... Generator Loss: 0.6914
Epoch 1/1... Discriminator Loss: 1.4982... Generator Loss: 0.6936
Epoch 1/1... Discriminator Loss: 1.1997... Generator Loss: 0.8882
Epoch 1/1... Discriminator Loss: 1.3372... Generator Loss: 0.5485
Epoch 1/1... Discriminator Loss: 1.3413... Generator Loss: 0.7979
Epoch 1/1... Discriminator Loss: 1.2832... Generator Loss: 0.7594
Epoch 1/1... Discriminator Loss: 1.2581... Generator Loss: 0.7898
Epoch 1/1... Discriminator Loss: 1.3144... Generator Loss: 0.7511
Epoch 1/1... Discriminator Loss: 1.3259... Generator Loss: 0.7035
Epoch 1/1... Discriminator Loss: 1.5073... Generator Loss: 0.6963
Epoch 1/1... Discriminator Loss: 1.3642... Generator Loss: 0.8134
Epoch 1/1... Discriminator Loss: 1.4319... Generator Loss: 0.6071
Epoch 1/1... Discriminator Loss: 1.5072... Generator Loss: 0.7112
Epoch 1/1... Discriminator Loss: 1.5681... Generator Loss: 0.5527
Epoch 1/1... Discriminator Loss: 1.7626... Generator Loss: 0.5122
Epoch 1/1... Discriminator Loss: 1.2472... Generator Loss: 0.7683
Epoch 1/1... Discriminator Loss: 1.4149... Generator Loss: 0.6628
Epoch 1/1... Discriminator Loss: 1.3168... Generator Loss: 0.7771
Epoch 1/1... Discriminator Loss: 1.3800... Generator Loss: 0.7926
Epoch 1/1... Discriminator Loss: 1.5740... Generator Loss: 0.8106
Epoch 1/1... Discriminator Loss: 1.3882... Generator Loss: 0.6921
Epoch 1/1... Discriminator Loss: 1.5266... Generator Loss: 0.7037
Epoch 1/1... Discriminator Loss: 1.3856... Generator Loss: 0.6510
Epoch 1/1... Discriminator Loss: 1.4389... Generator Loss: 0.6818
Epoch 1/1... Discriminator Loss: 1.3865... Generator Loss: 0.6787
Epoch 1/1... Discriminator Loss: 1.4017... Generator Loss: 0.6395
Epoch 1/1... Discriminator Loss: 1.4270... Generator Loss: 0.5575
Epoch 1/1... Discriminator Loss: 1.4304... Generator Loss: 0.6545
Epoch 1/1... Discriminator Loss: 1.4619... Generator Loss: 0.5636
Epoch 1/1... Discriminator Loss: 1.5046... Generator Loss: 0.5737
Epoch 1/1... Discriminator Loss: 1.2733... Generator Loss: 0.9584
Epoch 1/1... Discriminator Loss: 1.5975... Generator Loss: 0.8522
Epoch 1/1... Discriminator Loss: 1.2923... Generator Loss: 0.9259
Epoch 1/1... Discriminator Loss: 1.5995... Generator Loss: 0.5739
Epoch 1/1... Discriminator Loss: 1.6204... Generator Loss: 0.6863
Epoch 1/1... Discriminator Loss: 1.6653... Generator Loss: 0.5165
Epoch 1/1... Discriminator Loss: 1.2833... Generator Loss: 0.6815
Epoch 1/1... Discriminator Loss: 1.5708... Generator Loss: 0.6255
Epoch 1/1... Discriminator Loss: 1.6529... Generator Loss: 0.6157
Epoch 1/1... Discriminator Loss: 1.1677... Generator Loss: 0.7457
Epoch 1/1... Discriminator Loss: 1.4258... Generator Loss: 0.7421
Epoch 1/1... Discriminator Loss: 1.4507... Generator Loss: 0.5174
Epoch 1/1... Discriminator Loss: 1.2805... Generator Loss: 0.9864
Epoch 1/1... Discriminator Loss: 1.4018... Generator Loss: 0.6908
Epoch 1/1... Discriminator Loss: 1.6669... Generator Loss: 0.5713
Epoch 1/1... Discriminator Loss: 1.1996... Generator Loss: 0.9804
Epoch 1/1... Discriminator Loss: 1.4857... Generator Loss: 0.6419
Epoch 1/1... Discriminator Loss: 1.1999... Generator Loss: 0.8093
Epoch 1/1... Discriminator Loss: 1.2972... Generator Loss: 0.8881
Epoch 1/1... Discriminator Loss: 1.5783... Generator Loss: 0.5707
Epoch 1/1... Discriminator Loss: 1.4169... Generator Loss: 0.7626
Epoch 1/1... Discriminator Loss: 1.5518... Generator Loss: 0.6562
Epoch 1/1... Discriminator Loss: 1.5398... Generator Loss: 0.6490
Epoch 1/1... Discriminator Loss: 1.2030... Generator Loss: 0.8190
Epoch 1/1... Discriminator Loss: 1.2490... Generator Loss: 0.7262
Epoch 1/1... Discriminator Loss: 1.4105... Generator Loss: 0.8616
Epoch 1/1... Discriminator Loss: 1.2813... Generator Loss: 0.8273
Epoch 1/1... Discriminator Loss: 1.3034... Generator Loss: 0.7974
Epoch 1/1... Discriminator Loss: 1.5190... Generator Loss: 0.7000
Epoch 1/1... Discriminator Loss: 1.4350... Generator Loss: 0.6695
Epoch 1/1... Discriminator Loss: 1.3990... Generator Loss: 0.7393
Epoch 1/1... Discriminator Loss: 1.3071... Generator Loss: 0.7848
Epoch 1/1... Discriminator Loss: 1.4277... Generator Loss: 0.7457
Epoch 1/1... Discriminator Loss: 1.3886... Generator Loss: 0.6725
Epoch 1/1... Discriminator Loss: 1.2654... Generator Loss: 0.6070
Epoch 1/1... Discriminator Loss: 1.2741... Generator Loss: 0.8126
Epoch 1/1... Discriminator Loss: 1.6695... Generator Loss: 0.4478
Epoch 1/1... Discriminator Loss: 1.2202... Generator Loss: 0.7301
Epoch 1/1... Discriminator Loss: 1.5167... Generator Loss: 0.5611
Epoch 1/1... Discriminator Loss: 1.2420... Generator Loss: 0.7736
Epoch 1/1... Discriminator Loss: 1.6014... Generator Loss: 0.4582
Epoch 1/1... Discriminator Loss: 1.6190... Generator Loss: 0.5826
Epoch 1/1... Discriminator Loss: 1.3786... Generator Loss: 0.7955
Epoch 1/1... Discriminator Loss: 1.4361... Generator Loss: 0.6737
Epoch 1/1... Discriminator Loss: 1.4584... Generator Loss: 0.6380
Epoch 1/1... Discriminator Loss: 1.3457... Generator Loss: 0.6266
Epoch 1/1... Discriminator Loss: 1.6044... Generator Loss: 0.6192
Epoch 1/1... Discriminator Loss: 1.3790... Generator Loss: 0.6862
Epoch 1/1... Discriminator Loss: 1.1715... Generator Loss: 0.7855
Epoch 1/1... Discriminator Loss: 1.6483... Generator Loss: 0.3838
Epoch 1/1... Discriminator Loss: 1.2955... Generator Loss: 0.8649
Epoch 1/1... Discriminator Loss: 1.5222... Generator Loss: 0.6661
Epoch 1/1... Discriminator Loss: 1.1988... Generator Loss: 0.7748
Epoch 1/1... Discriminator Loss: 1.4598... Generator Loss: 0.6603
Epoch 1/1... Discriminator Loss: 1.1027... Generator Loss: 0.9854
Epoch 1/1... Discriminator Loss: 1.5074... Generator Loss: 0.7872
Epoch 1/1... Discriminator Loss: 1.3764... Generator Loss: 0.7125
Epoch 1/1... Discriminator Loss: 1.4897... Generator Loss: 0.4619
Epoch 1/1... Discriminator Loss: 1.5044... Generator Loss: 0.6772
Epoch 1/1... Discriminator Loss: 1.4388... Generator Loss: 0.6708
Epoch 1/1... Discriminator Loss: 1.6160... Generator Loss: 0.5852
Epoch 1/1... Discriminator Loss: 1.4042... Generator Loss: 0.6066
Epoch 1/1... Discriminator Loss: 1.3239... Generator Loss: 0.6755
Epoch 1/1... Discriminator Loss: 1.5299... Generator Loss: 0.7150
Epoch 1/1... Discriminator Loss: 1.4707... Generator Loss: 0.6615
Epoch 1/1... Discriminator Loss: 1.2587... Generator Loss: 0.8493
Epoch 1/1... Discriminator Loss: 1.4366... Generator Loss: 0.6825
Epoch 1/1... Discriminator Loss: 1.3872... Generator Loss: 0.7031
Epoch 1/1... Discriminator Loss: 1.4784... Generator Loss: 0.6243
Epoch 1/1... Discriminator Loss: 1.1350... Generator Loss: 1.1358
Epoch 1/1... Discriminator Loss: 1.4221... Generator Loss: 0.7145
Epoch 1/1... Discriminator Loss: 1.0235... Generator Loss: 0.9896
Epoch 1/1... Discriminator Loss: 1.2728... Generator Loss: 0.7253
Epoch 1/1... Discriminator Loss: 1.2562... Generator Loss: 0.9963
Epoch 1/1... Discriminator Loss: 1.3448... Generator Loss: 0.8163
Epoch 1/1... Discriminator Loss: 1.2781... Generator Loss: 0.6211
Epoch 1/1... Discriminator Loss: 1.5728... Generator Loss: 0.6683
Epoch 1/1... Discriminator Loss: 1.5261... Generator Loss: 0.7212
Epoch 1/1... Discriminator Loss: 1.1365... Generator Loss: 0.8353
Epoch 1/1... Discriminator Loss: 1.4350... Generator Loss: 0.5078
Epoch 1/1... Discriminator Loss: 1.3412... Generator Loss: 0.7108
Epoch 1/1... Discriminator Loss: 1.6908... Generator Loss: 0.3960
Epoch 1/1... Discriminator Loss: 1.4001... Generator Loss: 0.5527
Epoch 1/1... Discriminator Loss: 1.2591... Generator Loss: 0.9235
Epoch 1/1... Discriminator Loss: 1.2309... Generator Loss: 0.8553
Epoch 1/1... Discriminator Loss: 1.3849... Generator Loss: 0.9315
Epoch 1/1... Discriminator Loss: 1.3498... Generator Loss: 0.7516
Epoch 1/1... Discriminator Loss: 1.7628... Generator Loss: 0.3802
Epoch 1/1... Discriminator Loss: 1.4140... Generator Loss: 0.6124
Epoch 1/1... Discriminator Loss: 1.4814... Generator Loss: 0.4586
Epoch 1/1... Discriminator Loss: 1.4043... Generator Loss: 0.6948
Epoch 1/1... Discriminator Loss: 1.4172... Generator Loss: 0.7031
Epoch 1/1... Discriminator Loss: 1.7426... Generator Loss: 0.5206
Epoch 1/1... Discriminator Loss: 1.3886... Generator Loss: 0.5472
Epoch 1/1... Discriminator Loss: 1.4531... Generator Loss: 0.7759
Epoch 1/1... Discriminator Loss: 1.3406... Generator Loss: 0.6070
Epoch 1/1... Discriminator Loss: 1.3762... Generator Loss: 0.8290
Epoch 1/1... Discriminator Loss: 1.4434... Generator Loss: 0.6897
Epoch 1/1... Discriminator Loss: 1.4868... Generator Loss: 0.6426
Epoch 1/1... Discriminator Loss: 1.4424... Generator Loss: 0.6789
Epoch 1/1... Discriminator Loss: 1.4248... Generator Loss: 0.7027
Epoch 1/1... Discriminator Loss: 1.4938... Generator Loss: 0.6320
Epoch 1/1... Discriminator Loss: 1.1821... Generator Loss: 0.8027
Epoch 1/1... Discriminator Loss: 1.5309... Generator Loss: 0.7634
Epoch 1/1... Discriminator Loss: 1.4475... Generator Loss: 0.5630
Epoch 1/1... Discriminator Loss: 1.3690... Generator Loss: 0.7490
Epoch 1/1... Discriminator Loss: 1.3485... Generator Loss: 0.8142
Epoch 1/1... Discriminator Loss: 1.2162... Generator Loss: 0.8953
Epoch 1/1... Discriminator Loss: 1.5194... Generator Loss: 0.6896
Epoch 1/1... Discriminator Loss: 1.2674... Generator Loss: 0.7117
Epoch 1/1... Discriminator Loss: 1.2551... Generator Loss: 0.9007
Epoch 1/1... Discriminator Loss: 1.5838... Generator Loss: 0.6061
Epoch 1/1... Discriminator Loss: 1.4368... Generator Loss: 0.7221
Epoch 1/1... Discriminator Loss: 1.4272... Generator Loss: 0.6709
Epoch 1/1... Discriminator Loss: 1.5252... Generator Loss: 0.6573
Epoch 1/1... Discriminator Loss: 1.4168... Generator Loss: 0.7729
Epoch 1/1... Discriminator Loss: 1.4418... Generator Loss: 0.6991
Epoch 1/1... Discriminator Loss: 1.4407... Generator Loss: 0.7248
Epoch 1/1... Discriminator Loss: 1.4485... Generator Loss: 0.6440
Epoch 1/1... Discriminator Loss: 1.4749... Generator Loss: 0.6131
Epoch 1/1... Discriminator Loss: 1.4587... Generator Loss: 0.7156
Epoch 1/1... Discriminator Loss: 1.4726... Generator Loss: 0.6526
Epoch 1/1... Discriminator Loss: 1.3288... Generator Loss: 0.7260
Epoch 1/1... Discriminator Loss: 1.3168... Generator Loss: 0.7288
Epoch 1/1... Discriminator Loss: 1.3094... Generator Loss: 0.7811
Epoch 1/1... Discriminator Loss: 1.4680... Generator Loss: 0.5860
Epoch 1/1... Discriminator Loss: 1.4042... Generator Loss: 0.6259
Epoch 1/1... Discriminator Loss: 1.5114... Generator Loss: 0.6222
Epoch 1/1... Discriminator Loss: 1.2949... Generator Loss: 0.7698
Epoch 1/1... Discriminator Loss: 1.5292... Generator Loss: 0.5640
Epoch 1/1... Discriminator Loss: 1.5609... Generator Loss: 0.5045
Epoch 1/1... Discriminator Loss: 1.3391... Generator Loss: 0.6637
Epoch 1/1... Discriminator Loss: 1.3156... Generator Loss: 0.7389
Epoch 1/1... Discriminator Loss: 1.5168... Generator Loss: 0.7478
Epoch 1/1... Discriminator Loss: 1.5042... Generator Loss: 0.6087
Epoch 1/1... Discriminator Loss: 1.3869... Generator Loss: 0.8401
Epoch 1/1... Discriminator Loss: 1.5021... Generator Loss: 0.7133
Epoch 1/1... Discriminator Loss: 1.4522... Generator Loss: 0.6400
Epoch 1/1... Discriminator Loss: 1.3656... Generator Loss: 0.7029
Epoch 1/1... Discriminator Loss: 1.1657... Generator Loss: 0.7951
Epoch 1/1... Discriminator Loss: 1.4374... Generator Loss: 0.7374
Epoch 1/1... Discriminator Loss: 1.4964... Generator Loss: 0.6296
Epoch 1/1... Discriminator Loss: 1.4617... Generator Loss: 0.6761
Epoch 1/1... Discriminator Loss: 1.3929... Generator Loss: 0.7420
Epoch 1/1... Discriminator Loss: 1.4220... Generator Loss: 0.6301
Epoch 1/1... Discriminator Loss: 1.3280... Generator Loss: 0.7838
Epoch 1/1... Discriminator Loss: 1.4383... Generator Loss: 0.6001
Epoch 1/1... Discriminator Loss: 1.3917... Generator Loss: 0.7192
Epoch 1/1... Discriminator Loss: 1.3519... Generator Loss: 0.7152
Epoch 1/1... Discriminator Loss: 1.2684... Generator Loss: 0.8123
Epoch 1/1... Discriminator Loss: 1.2308... Generator Loss: 0.9310
Epoch 1/1... Discriminator Loss: 1.3435... Generator Loss: 0.7681
Epoch 1/1... Discriminator Loss: 1.4939... Generator Loss: 0.6878
Epoch 1/1... Discriminator Loss: 1.3871... Generator Loss: 0.7054
Epoch 1/1... Discriminator Loss: 1.3096... Generator Loss: 0.7305
Epoch 1/1... Discriminator Loss: 1.1965... Generator Loss: 0.8190
Epoch 1/1... Discriminator Loss: 1.3327... Generator Loss: 0.7834
Epoch 1/1... Discriminator Loss: 1.2711... Generator Loss: 0.7740
Epoch 1/1... Discriminator Loss: 1.3575... Generator Loss: 0.6482
Epoch 1/1... Discriminator Loss: 1.4731... Generator Loss: 0.6444
Epoch 1/1... Discriminator Loss: 1.5209... Generator Loss: 0.6886
Epoch 1/1... Discriminator Loss: 1.4286... Generator Loss: 0.7138
Epoch 1/1... Discriminator Loss: 1.5204... Generator Loss: 0.7079
Epoch 1/1... Discriminator Loss: 1.2292... Generator Loss: 0.9932
Epoch 1/1... Discriminator Loss: 1.4005... Generator Loss: 0.6402
Epoch 1/1... Discriminator Loss: 1.4975... Generator Loss: 0.5998
Epoch 1/1... Discriminator Loss: 1.4110... Generator Loss: 0.6790
Epoch 1/1... Discriminator Loss: 1.1795... Generator Loss: 0.9041
Epoch 1/1... Discriminator Loss: 1.2186... Generator Loss: 0.9590
Epoch 1/1... Discriminator Loss: 1.3133... Generator Loss: 0.8128
Epoch 1/1... Discriminator Loss: 1.5708... Generator Loss: 0.6908
Epoch 1/1... Discriminator Loss: 1.3951... Generator Loss: 0.6600
Epoch 1/1... Discriminator Loss: 1.3487... Generator Loss: 0.7469
Epoch 1/1... Discriminator Loss: 1.3798... Generator Loss: 0.6687
Epoch 1/1... Discriminator Loss: 1.4566... Generator Loss: 0.7065
Epoch 1/1... Discriminator Loss: 1.4968... Generator Loss: 0.7846
Epoch 1/1... Discriminator Loss: 1.7158... Generator Loss: 0.5326
Epoch 1/1... Discriminator Loss: 1.2526... Generator Loss: 0.8401
Epoch 1/1... Discriminator Loss: 1.3355... Generator Loss: 0.7395
Epoch 1/1... Discriminator Loss: 1.4277... Generator Loss: 0.6255
Epoch 1/1... Discriminator Loss: 1.0643... Generator Loss: 0.9846
Epoch 1/1... Discriminator Loss: 1.1260... Generator Loss: 0.9508
Epoch 1/1... Discriminator Loss: 1.2869... Generator Loss: 1.0338
Epoch 1/1... Discriminator Loss: 1.2641... Generator Loss: 0.7797
Epoch 1/1... Discriminator Loss: 1.3189... Generator Loss: 0.7486
Epoch 1/1... Discriminator Loss: 1.3564... Generator Loss: 0.6741
Epoch 1/1... Discriminator Loss: 1.3624... Generator Loss: 0.8480
Epoch 1/1... Discriminator Loss: 1.5047... Generator Loss: 0.4733
Epoch 1/1... Discriminator Loss: 1.4406... Generator Loss: 0.7760
Epoch 1/1... Discriminator Loss: 1.4442... Generator Loss: 0.6154
Epoch 1/1... Discriminator Loss: 1.4786... Generator Loss: 0.6826
Epoch 1/1... Discriminator Loss: 1.3866... Generator Loss: 1.0237
Epoch 1/1... Discriminator Loss: 1.4501... Generator Loss: 0.6834
Epoch 1/1... Discriminator Loss: 1.5297... Generator Loss: 0.5485
Epoch 1/1... Discriminator Loss: 1.3976... Generator Loss: 0.7637
Epoch 1/1... Discriminator Loss: 1.3278... Generator Loss: 0.8203
Epoch 1/1... Discriminator Loss: 1.4439... Generator Loss: 0.6917
Epoch 1/1... Discriminator Loss: 1.4347... Generator Loss: 0.6092
Epoch 1/1... Discriminator Loss: 1.2567... Generator Loss: 0.7293
Epoch 1/1... Discriminator Loss: 1.3397... Generator Loss: 0.6359
Epoch 1/1... Discriminator Loss: 1.4853... Generator Loss: 0.6583
Epoch 1/1... Discriminator Loss: 1.4460... Generator Loss: 0.6584
Epoch 1/1... Discriminator Loss: 1.3319... Generator Loss: 0.8184
Epoch 1/1... Discriminator Loss: 1.2477... Generator Loss: 0.6871
Epoch 1/1... Discriminator Loss: 1.2631... Generator Loss: 0.8888
Epoch 1/1... Discriminator Loss: 1.3804... Generator Loss: 0.8554
Epoch 1/1... Discriminator Loss: 1.4018... Generator Loss: 0.7898
Epoch 1/1... Discriminator Loss: 1.3151... Generator Loss: 0.7803
Epoch 1/1... Discriminator Loss: 1.3516... Generator Loss: 0.7847
Epoch 1/1... Discriminator Loss: 1.5432... Generator Loss: 0.6490
Epoch 1/1... Discriminator Loss: 1.3777... Generator Loss: 0.6161
Epoch 1/1... Discriminator Loss: 1.4065... Generator Loss: 0.7444
Epoch 1/1... Discriminator Loss: 1.3148... Generator Loss: 0.7674
Epoch 1/1... Discriminator Loss: 1.3076... Generator Loss: 0.8307
Epoch 1/1... Discriminator Loss: 1.2963... Generator Loss: 0.8439
Epoch 1/1... Discriminator Loss: 1.3856... Generator Loss: 0.6382
Epoch 1/1... Discriminator Loss: 1.3816... Generator Loss: 0.6444
Epoch 1/1... Discriminator Loss: 1.4896... Generator Loss: 0.6212
Epoch 1/1... Discriminator Loss: 1.4143... Generator Loss: 0.7371
Epoch 1/1... Discriminator Loss: 1.4502... Generator Loss: 0.7269
Epoch 1/1... Discriminator Loss: 1.4254... Generator Loss: 0.6536
Epoch 1/1... Discriminator Loss: 1.3090... Generator Loss: 0.8281
Epoch 1/1... Discriminator Loss: 1.3860... Generator Loss: 0.7545
Epoch 1/1... Discriminator Loss: 1.3511... Generator Loss: 0.7615
Epoch 1/1... Discriminator Loss: 1.4689... Generator Loss: 0.6645
Epoch 1/1... Discriminator Loss: 1.4921... Generator Loss: 0.7774
Epoch 1/1... Discriminator Loss: 1.3172... Generator Loss: 0.7232
Epoch 1/1... Discriminator Loss: 1.3869... Generator Loss: 0.6941
Epoch 1/1... Discriminator Loss: 1.3601... Generator Loss: 0.7154
Epoch 1/1... Discriminator Loss: 1.3899... Generator Loss: 0.6635
Epoch 1/1... Discriminator Loss: 1.3710... Generator Loss: 0.7726
Epoch 1/1... Discriminator Loss: 1.2700... Generator Loss: 0.7787
Epoch 1/1... Discriminator Loss: 1.5555... Generator Loss: 0.6178
Epoch 1/1... Discriminator Loss: 1.3158... Generator Loss: 0.7129
Epoch 1/1... Discriminator Loss: 1.3625... Generator Loss: 0.8031
Epoch 1/1... Discriminator Loss: 1.4051... Generator Loss: 0.7063
Epoch 1/1... Discriminator Loss: 1.3843... Generator Loss: 0.7502
Epoch 1/1... Discriminator Loss: 1.4220... Generator Loss: 0.7266
Epoch 1/1... Discriminator Loss: 1.4301... Generator Loss: 0.6944
Epoch 1/1... Discriminator Loss: 1.3131... Generator Loss: 0.7552
Epoch 1/1... Discriminator Loss: 1.2916... Generator Loss: 0.8440
Epoch 1/1... Discriminator Loss: 1.4577... Generator Loss: 0.6423
Epoch 1/1... Discriminator Loss: 1.3243... Generator Loss: 0.7494
Epoch 1/1... Discriminator Loss: 1.3599... Generator Loss: 0.7222
Epoch 1/1... Discriminator Loss: 1.3660... Generator Loss: 0.6644
Epoch 1/1... Discriminator Loss: 1.2507... Generator Loss: 0.7896
Epoch 1/1... Discriminator Loss: 1.6050... Generator Loss: 0.5622
Epoch 1/1... Discriminator Loss: 1.2213... Generator Loss: 0.8167
Epoch 1/1... Discriminator Loss: 1.5068... Generator Loss: 0.5721
Epoch 1/1... Discriminator Loss: 1.4320... Generator Loss: 0.6815
Epoch 1/1... Discriminator Loss: 1.3124... Generator Loss: 0.6607
Epoch 1/1... Discriminator Loss: 1.3790... Generator Loss: 0.7250
Epoch 1/1... Discriminator Loss: 1.3593... Generator Loss: 0.7348
Epoch 1/1... Discriminator Loss: 1.3059... Generator Loss: 0.8575
Epoch 1/1... Discriminator Loss: 1.3281... Generator Loss: 0.6943
Epoch 1/1... Discriminator Loss: 1.4141... Generator Loss: 0.6429
Epoch 1/1... Discriminator Loss: 1.3656... Generator Loss: 0.8530
Epoch 1/1... Discriminator Loss: 1.3892... Generator Loss: 0.6811
Epoch 1/1... Discriminator Loss: 1.3893... Generator Loss: 0.6723
Epoch 1/1... Discriminator Loss: 1.4396... Generator Loss: 0.8326
Epoch 1/1... Discriminator Loss: 1.3966... Generator Loss: 0.7014
Epoch 1/1... Discriminator Loss: 1.3174... Generator Loss: 0.8902
Epoch 1/1... Discriminator Loss: 1.3263... Generator Loss: 0.7412
Epoch 1/1... Discriminator Loss: 1.4097... Generator Loss: 0.7235
Epoch 1/1... Discriminator Loss: 1.4269... Generator Loss: 0.7170
Epoch 1/1... Discriminator Loss: 1.4442... Generator Loss: 0.7455
Epoch 1/1... Discriminator Loss: 1.3682... Generator Loss: 0.6155
Epoch 1/1... Discriminator Loss: 1.4481... Generator Loss: 0.6786
Epoch 1/1... Discriminator Loss: 1.3544... Generator Loss: 1.3012
Epoch 1/1... Discriminator Loss: 1.6058... Generator Loss: 0.7631
Epoch 1/1... Discriminator Loss: 1.3112... Generator Loss: 0.7856
Epoch 1/1... Discriminator Loss: 1.3957... Generator Loss: 0.6844
Epoch 1/1... Discriminator Loss: 1.2674... Generator Loss: 0.7730
Epoch 1/1... Discriminator Loss: 1.4486... Generator Loss: 0.8107
Epoch 1/1... Discriminator Loss: 1.3279... Generator Loss: 0.7225
Epoch 1/1... Discriminator Loss: 1.3191... Generator Loss: 0.7722
Epoch 1/1... Discriminator Loss: 1.4259... Generator Loss: 0.6478
Epoch 1/1... Discriminator Loss: 1.4481... Generator Loss: 0.7022
Epoch 1/1... Discriminator Loss: 1.3290... Generator Loss: 0.7847
Epoch 1/1... Discriminator Loss: 1.4655... Generator Loss: 0.5913
Epoch 1/1... Discriminator Loss: 1.4485... Generator Loss: 0.6335
Epoch 1/1... Discriminator Loss: 1.2638... Generator Loss: 0.7622
Epoch 1/1... Discriminator Loss: 1.3260... Generator Loss: 0.7662
Epoch 1/1... Discriminator Loss: 1.5706... Generator Loss: 0.5715
Epoch 1/1... Discriminator Loss: 1.4119... Generator Loss: 0.7335
Epoch 1/1... Discriminator Loss: 1.4225... Generator Loss: 0.8244
Epoch 1/1... Discriminator Loss: 1.3333... Generator Loss: 0.7093
Epoch 1/1... Discriminator Loss: 1.3227... Generator Loss: 0.7161
Epoch 1/1... Discriminator Loss: 1.5331... Generator Loss: 0.6477
Epoch 1/1... Discriminator Loss: 1.3262... Generator Loss: 0.8009
Epoch 1/1... Discriminator Loss: 1.4298... Generator Loss: 0.7477
Epoch 1/1... Discriminator Loss: 1.3908... Generator Loss: 0.6792
Epoch 1/1... Discriminator Loss: 1.2742... Generator Loss: 0.7247
Epoch 1/1... Discriminator Loss: 1.4407... Generator Loss: 0.6714
Epoch 1/1... Discriminator Loss: 1.5715... Generator Loss: 0.5996
Epoch 1/1... Discriminator Loss: 1.3716... Generator Loss: 0.7488
Epoch 1/1... Discriminator Loss: 1.4275... Generator Loss: 0.7072
Epoch 1/1... Discriminator Loss: 1.3040... Generator Loss: 0.8372
Epoch 1/1... Discriminator Loss: 1.4016... Generator Loss: 0.7272
Epoch 1/1... Discriminator Loss: 1.4519... Generator Loss: 0.8430
Epoch 1/1... Discriminator Loss: 1.4028... Generator Loss: 0.7270
Epoch 1/1... Discriminator Loss: 1.3427... Generator Loss: 0.7213
Epoch 1/1... Discriminator Loss: 1.3213... Generator Loss: 0.8072
Epoch 1/1... Discriminator Loss: 1.2737... Generator Loss: 0.7463
Epoch 1/1... Discriminator Loss: 1.3135... Generator Loss: 0.7649
Epoch 1/1... Discriminator Loss: 1.3772... Generator Loss: 0.8096
Epoch 1/1... Discriminator Loss: 1.4684... Generator Loss: 0.6654
Epoch 1/1... Discriminator Loss: 1.3173... Generator Loss: 0.8363
Epoch 1/1... Discriminator Loss: 1.7010... Generator Loss: 0.4905
Epoch 1/1... Discriminator Loss: 1.4156... Generator Loss: 0.6237
Epoch 1/1... Discriminator Loss: 1.4229... Generator Loss: 0.8524
Epoch 1/1... Discriminator Loss: 1.4362... Generator Loss: 0.8366
Epoch 1/1... Discriminator Loss: 1.3381... Generator Loss: 0.7803
Epoch 1/1... Discriminator Loss: 1.5937... Generator Loss: 0.5364
Epoch 1/1... Discriminator Loss: 1.3850... Generator Loss: 0.8227
Epoch 1/1... Discriminator Loss: 1.6132... Generator Loss: 0.6402
Epoch 1/1... Discriminator Loss: 1.5193... Generator Loss: 0.6222
Epoch 1/1... Discriminator Loss: 1.4529... Generator Loss: 0.6728
Epoch 1/1... Discriminator Loss: 1.5157... Generator Loss: 0.6165
Epoch 1/1... Discriminator Loss: 1.3541... Generator Loss: 0.6977
Epoch 1/1... Discriminator Loss: 1.4461... Generator Loss: 0.7043
Epoch 1/1... Discriminator Loss: 1.5166... Generator Loss: 0.6316
Epoch 1/1... Discriminator Loss: 1.3049... Generator Loss: 0.7574
Epoch 1/1... Discriminator Loss: 1.2681... Generator Loss: 0.7910
Epoch 1/1... Discriminator Loss: 1.6205... Generator Loss: 0.5805
Epoch 1/1... Discriminator Loss: 1.3965... Generator Loss: 0.7470
Epoch 1/1... Discriminator Loss: 1.4140... Generator Loss: 0.7117
Epoch 1/1... Discriminator Loss: 1.2905... Generator Loss: 0.7275
Epoch 1/1... Discriminator Loss: 1.4772... Generator Loss: 0.7471
Epoch 1/1... Discriminator Loss: 1.3343... Generator Loss: 0.6580
Epoch 1/1... Discriminator Loss: 1.4846... Generator Loss: 0.6939
Epoch 1/1... Discriminator Loss: 1.4223... Generator Loss: 0.7563
Epoch 1/1... Discriminator Loss: 1.4234... Generator Loss: 0.7518
Epoch 1/1... Discriminator Loss: 1.4368... Generator Loss: 0.7074
Epoch 1/1... Discriminator Loss: 1.3532... Generator Loss: 0.8220
Epoch 1/1... Discriminator Loss: 1.6287... Generator Loss: 0.6088
Epoch 1/1... Discriminator Loss: 1.6252... Generator Loss: 0.5388
Epoch 1/1... Discriminator Loss: 1.3906... Generator Loss: 0.6579
Epoch 1/1... Discriminator Loss: 1.3808... Generator Loss: 0.8213
Epoch 1/1... Discriminator Loss: 1.4692... Generator Loss: 0.7771
Epoch 1/1... Discriminator Loss: 1.2721... Generator Loss: 0.7499
Epoch 1/1... Discriminator Loss: 1.3370... Generator Loss: 0.8043
Epoch 1/1... Discriminator Loss: 1.4876... Generator Loss: 0.7588
Epoch 1/1... Discriminator Loss: 1.3810... Generator Loss: 0.7214
Epoch 1/1... Discriminator Loss: 1.5058... Generator Loss: 0.5870
Epoch 1/1... Discriminator Loss: 1.5182... Generator Loss: 0.5397
Epoch 1/1... Discriminator Loss: 1.3795... Generator Loss: 0.7435
Epoch 1/1... Discriminator Loss: 1.3024... Generator Loss: 0.7553
Epoch 1/1... Discriminator Loss: 1.3444... Generator Loss: 0.8668
Epoch 1/1... Discriminator Loss: 1.4286... Generator Loss: 0.7228
Epoch 1/1... Discriminator Loss: 1.3662... Generator Loss: 0.7351
Epoch 1/1... Discriminator Loss: 1.3581... Generator Loss: 0.7489
Epoch 1/1... Discriminator Loss: 1.3067... Generator Loss: 0.8152
Epoch 1/1... Discriminator Loss: 1.4540... Generator Loss: 0.6447
Epoch 1/1... Discriminator Loss: 1.4097... Generator Loss: 0.6434
Epoch 1/1... Discriminator Loss: 1.2509... Generator Loss: 0.8192
Epoch 1/1... Discriminator Loss: 1.3385... Generator Loss: 0.6901
Epoch 1/1... Discriminator Loss: 1.3346... Generator Loss: 0.7452
Epoch 1/1... Discriminator Loss: 1.3002... Generator Loss: 0.7462
Epoch 1/1... Discriminator Loss: 1.4150... Generator Loss: 0.7169
Epoch 1/1... Discriminator Loss: 1.4562... Generator Loss: 0.5918
Epoch 1/1... Discriminator Loss: 1.3779... Generator Loss: 0.6621
Epoch 1/1... Discriminator Loss: 1.4036... Generator Loss: 0.7245
Epoch 1/1... Discriminator Loss: 1.2990... Generator Loss: 0.7260
Epoch 1/1... Discriminator Loss: 1.2287... Generator Loss: 0.8121
Epoch 1/1... Discriminator Loss: 1.2383... Generator Loss: 0.8123
Epoch 1/1... Discriminator Loss: 1.4524... Generator Loss: 0.5021
Epoch 1/1... Discriminator Loss: 1.4284... Generator Loss: 0.6449
Epoch 1/1... Discriminator Loss: 1.4097... Generator Loss: 0.7593
Epoch 1/1... Discriminator Loss: 1.4321... Generator Loss: 0.6958
Epoch 1/1... Discriminator Loss: 1.3939... Generator Loss: 0.7220
Epoch 1/1... Discriminator Loss: 1.4715... Generator Loss: 0.6902
Epoch 1/1... Discriminator Loss: 1.5398... Generator Loss: 0.5715
Epoch 1/1... Discriminator Loss: 1.4054... Generator Loss: 0.7138
Epoch 1/1... Discriminator Loss: 1.3720... Generator Loss: 0.7952
Epoch 1/1... Discriminator Loss: 1.4642... Generator Loss: 0.6772
Epoch 1/1... Discriminator Loss: 1.3667... Generator Loss: 0.8541
Epoch 1/1... Discriminator Loss: 1.4447... Generator Loss: 0.6335
Epoch 1/1... Discriminator Loss: 1.5293... Generator Loss: 0.6600
Epoch 1/1... Discriminator Loss: 1.4105... Generator Loss: 0.8725
Epoch 1/1... Discriminator Loss: 1.3721... Generator Loss: 0.6509
Epoch 1/1... Discriminator Loss: 1.4900... Generator Loss: 0.7694
Epoch 1/1... Discriminator Loss: 1.4921... Generator Loss: 0.6382
Epoch 1/1... Discriminator Loss: 1.3992... Generator Loss: 0.6840
Epoch 1/1... Discriminator Loss: 1.2980... Generator Loss: 0.8929
Epoch 1/1... Discriminator Loss: 1.4797... Generator Loss: 0.8100
Epoch 1/1... Discriminator Loss: 1.6007... Generator Loss: 0.6315
Epoch 1/1... Discriminator Loss: 1.3584... Generator Loss: 0.6708
Epoch 1/1... Discriminator Loss: 1.3484... Generator Loss: 0.7379
Epoch 1/1... Discriminator Loss: 1.3971... Generator Loss: 0.6804
Epoch 1/1... Discriminator Loss: 1.3256... Generator Loss: 0.7881
Epoch 1/1... Discriminator Loss: 1.3526... Generator Loss: 0.7118
Epoch 1/1... Discriminator Loss: 1.3692... Generator Loss: 0.6107
Epoch 1/1... Discriminator Loss: 1.2883... Generator Loss: 0.8369
Epoch 1/1... Discriminator Loss: 1.4419... Generator Loss: 0.7897
Epoch 1/1... Discriminator Loss: 1.3066... Generator Loss: 0.7883
Epoch 1/1... Discriminator Loss: 1.3362... Generator Loss: 0.7884
Epoch 1/1... Discriminator Loss: 1.4775... Generator Loss: 0.6523
Epoch 1/1... Discriminator Loss: 1.3027... Generator Loss: 0.8937
Epoch 1/1... Discriminator Loss: 1.4683... Generator Loss: 0.6796
Epoch 1/1... Discriminator Loss: 1.4013... Generator Loss: 0.6524
Epoch 1/1... Discriminator Loss: 1.3876... Generator Loss: 0.7395
Epoch 1/1... Discriminator Loss: 1.4276... Generator Loss: 0.7838
Epoch 1/1... Discriminator Loss: 1.3845... Generator Loss: 0.6512
Epoch 1/1... Discriminator Loss: 1.3231... Generator Loss: 0.7987
Epoch 1/1... Discriminator Loss: 1.4086... Generator Loss: 0.7296
Epoch 1/1... Discriminator Loss: 1.4594... Generator Loss: 0.6744
Epoch 1/1... Discriminator Loss: 1.3331... Generator Loss: 0.7001
Epoch 1/1... Discriminator Loss: 1.3997... Generator Loss: 0.7447
Epoch 1/1... Discriminator Loss: 1.3000... Generator Loss: 0.8038
Epoch 1/1... Discriminator Loss: 1.4236... Generator Loss: 0.6686
Epoch 1/1... Discriminator Loss: 1.3587... Generator Loss: 0.7915
Epoch 1/1... Discriminator Loss: 1.5112... Generator Loss: 0.6071
Epoch 1/1... Discriminator Loss: 1.5168... Generator Loss: 0.6867
Epoch 1/1... Discriminator Loss: 1.3442... Generator Loss: 0.7799
Epoch 1/1... Discriminator Loss: 1.4806... Generator Loss: 0.7162
Epoch 1/1... Discriminator Loss: 1.4817... Generator Loss: 0.6189
Epoch 1/1... Discriminator Loss: 1.2834... Generator Loss: 0.8552
Epoch 1/1... Discriminator Loss: 1.4349... Generator Loss: 0.7209
Epoch 1/1... Discriminator Loss: 1.4813... Generator Loss: 0.7582
Epoch 1/1... Discriminator Loss: 1.4326... Generator Loss: 0.6735
Epoch 1/1... Discriminator Loss: 1.3669... Generator Loss: 0.7078
Epoch 1/1... Discriminator Loss: 1.4173... Generator Loss: 0.7590
Epoch 1/1... Discriminator Loss: 1.3989... Generator Loss: 0.8500
Epoch 1/1... Discriminator Loss: 1.4546... Generator Loss: 0.7326
Epoch 1/1... Discriminator Loss: 1.2529... Generator Loss: 0.7181
Epoch 1/1... Discriminator Loss: 1.3983... Generator Loss: 0.6038
Epoch 1/1... Discriminator Loss: 1.4315... Generator Loss: 0.7506
Epoch 1/1... Discriminator Loss: 1.3374... Generator Loss: 0.8404
Epoch 1/1... Discriminator Loss: 1.3513... Generator Loss: 0.8965
Epoch 1/1... Discriminator Loss: 1.3729... Generator Loss: 0.7164
Epoch 1/1... Discriminator Loss: 1.4818... Generator Loss: 0.5885
Epoch 1/1... Discriminator Loss: 1.2760... Generator Loss: 0.7815
Epoch 1/1... Discriminator Loss: 1.4087... Generator Loss: 0.6095
Epoch 1/1... Discriminator Loss: 1.2674... Generator Loss: 0.7874
Epoch 1/1... Discriminator Loss: 1.5065... Generator Loss: 0.7698
Epoch 1/1... Discriminator Loss: 1.6973... Generator Loss: 0.5296
Epoch 1/1... Discriminator Loss: 1.3060... Generator Loss: 0.7936
Epoch 1/1... Discriminator Loss: 1.4552... Generator Loss: 0.6684
Epoch 1/1... Discriminator Loss: 1.4127... Generator Loss: 0.7027
Epoch 1/1... Discriminator Loss: 1.4739... Generator Loss: 0.7603
Epoch 1/1... Discriminator Loss: 1.3276... Generator Loss: 0.8105
Epoch 1/1... Discriminator Loss: 1.5597... Generator Loss: 0.6642
Epoch 1/1... Discriminator Loss: 1.4027... Generator Loss: 0.6892
Epoch 1/1... Discriminator Loss: 1.2878... Generator Loss: 0.7965
Epoch 1/1... Discriminator Loss: 1.3064... Generator Loss: 0.7590
Epoch 1/1... Discriminator Loss: 1.3497... Generator Loss: 0.7652
Epoch 1/1... Discriminator Loss: 1.3177... Generator Loss: 0.7926
Epoch 1/1... Discriminator Loss: 1.3303... Generator Loss: 0.6928
Epoch 1/1... Discriminator Loss: 1.3590... Generator Loss: 0.6569
Epoch 1/1... Discriminator Loss: 1.3056... Generator Loss: 0.7559
Epoch 1/1... Discriminator Loss: 1.2526... Generator Loss: 0.7738
Epoch 1/1... Discriminator Loss: 1.4339... Generator Loss: 0.6490
Epoch 1/1... Discriminator Loss: 1.6201... Generator Loss: 0.7130
Epoch 1/1... Discriminator Loss: 1.3242... Generator Loss: 0.7326
Epoch 1/1... Discriminator Loss: 1.4067... Generator Loss: 0.7210
Epoch 1/1... Discriminator Loss: 1.2944... Generator Loss: 0.7053
Epoch 1/1... Discriminator Loss: 1.4864... Generator Loss: 0.6891
Epoch 1/1... Discriminator Loss: 1.2656... Generator Loss: 0.8105
Epoch 1/1... Discriminator Loss: 1.3883... Generator Loss: 0.7683
Epoch 1/1... Discriminator Loss: 1.4696... Generator Loss: 0.7371
Epoch 1/1... Discriminator Loss: 1.4157... Generator Loss: 0.7095
Epoch 1/1... Discriminator Loss: 1.4872... Generator Loss: 0.7241
Epoch 1/1... Discriminator Loss: 1.4498... Generator Loss: 0.5915
Epoch 1/1... Discriminator Loss: 1.4911... Generator Loss: 0.7277
Epoch 1/1... Discriminator Loss: 1.2909... Generator Loss: 0.8103
Epoch 1/1... Discriminator Loss: 1.6084... Generator Loss: 0.5133
Epoch 1/1... Discriminator Loss: 1.4487... Generator Loss: 0.7539
Epoch 1/1... Discriminator Loss: 1.4553... Generator Loss: 0.6336
Epoch 1/1... Discriminator Loss: 1.3041... Generator Loss: 0.8564
Epoch 1/1... Discriminator Loss: 1.5461... Generator Loss: 0.7139
Epoch 1/1... Discriminator Loss: 1.3792... Generator Loss: 0.7692
Epoch 1/1... Discriminator Loss: 1.3860... Generator Loss: 0.8029
Epoch 1/1... Discriminator Loss: 1.4747... Generator Loss: 0.6049
Epoch 1/1... Discriminator Loss: 1.3778... Generator Loss: 0.7611
Epoch 1/1... Discriminator Loss: 1.4291... Generator Loss: 0.6891
Epoch 1/1... Discriminator Loss: 1.5902... Generator Loss: 0.5310
Epoch 1/1... Discriminator Loss: 1.3204... Generator Loss: 0.8881
Epoch 1/1... Discriminator Loss: 1.5124... Generator Loss: 0.6488
Epoch 1/1... Discriminator Loss: 1.3916... Generator Loss: 0.7146
Epoch 1/1... Discriminator Loss: 1.3998... Generator Loss: 0.7811
Epoch 1/1... Discriminator Loss: 1.5054... Generator Loss: 0.6877
Epoch 1/1... Discriminator Loss: 1.4707... Generator Loss: 0.5794
Epoch 1/1... Discriminator Loss: 1.4114... Generator Loss: 0.7463
Epoch 1/1... Discriminator Loss: 1.5320... Generator Loss: 0.6478
Epoch 1/1... Discriminator Loss: 1.3423... Generator Loss: 0.7559
Epoch 1/1... Discriminator Loss: 1.3344... Generator Loss: 0.7424
Epoch 1/1... Discriminator Loss: 1.4505... Generator Loss: 0.6426
Epoch 1/1... Discriminator Loss: 1.4595... Generator Loss: 0.6131
Epoch 1/1... Discriminator Loss: 1.4158... Generator Loss: 0.6834
Epoch 1/1... Discriminator Loss: 1.3581... Generator Loss: 0.7893
Epoch 1/1... Discriminator Loss: 1.3839... Generator Loss: 0.7155
Epoch 1/1... Discriminator Loss: 1.4663... Generator Loss: 0.6817
Epoch 1/1... Discriminator Loss: 1.4755... Generator Loss: 0.6586
Epoch 1/1... Discriminator Loss: 1.4416... Generator Loss: 0.7354
Epoch 1/1... Discriminator Loss: 1.2983... Generator Loss: 0.7341
Epoch 1/1... Discriminator Loss: 1.3525... Generator Loss: 0.6681
Epoch 1/1... Discriminator Loss: 1.3379... Generator Loss: 0.7169
Epoch 1/1... Discriminator Loss: 1.3495... Generator Loss: 0.8299
Epoch 1/1... Discriminator Loss: 1.3137... Generator Loss: 0.8424
Epoch 1/1... Discriminator Loss: 1.4207... Generator Loss: 0.6949
Epoch 1/1... Discriminator Loss: 1.4091... Generator Loss: 0.7362
Epoch 1/1... Discriminator Loss: 1.3611... Generator Loss: 0.8234
Epoch 1/1... Discriminator Loss: 1.5638... Generator Loss: 0.6315
Epoch 1/1... Discriminator Loss: 1.4115... Generator Loss: 0.7740
Epoch 1/1... Discriminator Loss: 1.3696... Generator Loss: 0.7185
Epoch 1/1... Discriminator Loss: 1.3785... Generator Loss: 0.7616
Epoch 1/1... Discriminator Loss: 1.3146... Generator Loss: 0.8014
Epoch 1/1... Discriminator Loss: 1.4707... Generator Loss: 0.6194
Epoch 1/1... Discriminator Loss: 1.3576... Generator Loss: 0.7187
Epoch 1/1... Discriminator Loss: 1.4666... Generator Loss: 0.6097
Epoch 1/1... Discriminator Loss: 1.4119... Generator Loss: 0.7084
Epoch 1/1... Discriminator Loss: 1.3376... Generator Loss: 0.8469
Epoch 1/1... Discriminator Loss: 1.4264... Generator Loss: 0.7468
Epoch 1/1... Discriminator Loss: 1.3965... Generator Loss: 0.7321
Epoch 1/1... Discriminator Loss: 1.5455... Generator Loss: 0.6686
Epoch 1/1... Discriminator Loss: 1.3444... Generator Loss: 0.8195
Epoch 1/1... Discriminator Loss: 1.4103... Generator Loss: 0.7602
Epoch 1/1... Discriminator Loss: 1.3184... Generator Loss: 0.7463
Epoch 1/1... Discriminator Loss: 1.3185... Generator Loss: 0.8150
Epoch 1/1... Discriminator Loss: 1.5073... Generator Loss: 0.6628
Epoch 1/1... Discriminator Loss: 1.3366... Generator Loss: 0.6984
Epoch 1/1... Discriminator Loss: 1.2883... Generator Loss: 0.7644
Epoch 1/1... Discriminator Loss: 1.3362... Generator Loss: 0.7748
Epoch 1/1... Discriminator Loss: 1.4139... Generator Loss: 0.7043
Epoch 1/1... Discriminator Loss: 1.5791... Generator Loss: 0.7600
Epoch 1/1... Discriminator Loss: 1.3969... Generator Loss: 0.8405
Epoch 1/1... Discriminator Loss: 1.3248... Generator Loss: 0.7196
Epoch 1/1... Discriminator Loss: 1.4327... Generator Loss: 0.7573
Epoch 1/1... Discriminator Loss: 1.5524... Generator Loss: 0.5872
Epoch 1/1... Discriminator Loss: 1.4199... Generator Loss: 0.8068
Epoch 1/1... Discriminator Loss: 1.4478... Generator Loss: 0.7857
Epoch 1/1... Discriminator Loss: 1.3808... Generator Loss: 0.7991
Epoch 1/1... Discriminator Loss: 1.5009... Generator Loss: 0.6098
Epoch 1/1... Discriminator Loss: 1.2949... Generator Loss: 0.7883
Epoch 1/1... Discriminator Loss: 1.4202... Generator Loss: 0.6854
Epoch 1/1... Discriminator Loss: 1.3655... Generator Loss: 0.7568
Epoch 1/1... Discriminator Loss: 1.4362... Generator Loss: 0.7131
Epoch 1/1... Discriminator Loss: 1.2764... Generator Loss: 0.7708
Epoch 1/1... Discriminator Loss: 1.3976... Generator Loss: 0.6266
Epoch 1/1... Discriminator Loss: 1.4901... Generator Loss: 0.5501
Epoch 1/1... Discriminator Loss: 1.4200... Generator Loss: 0.7367
Epoch 1/1... Discriminator Loss: 1.4367... Generator Loss: 0.7462
Epoch 1/1... Discriminator Loss: 1.3669... Generator Loss: 0.7005
Epoch 1/1... Discriminator Loss: 1.4444... Generator Loss: 0.7251
Epoch 1/1... Discriminator Loss: 1.4067... Generator Loss: 0.7147
Epoch 1/1... Discriminator Loss: 1.3985... Generator Loss: 0.7362
Epoch 1/1... Discriminator Loss: 1.4011... Generator Loss: 0.7754
Epoch 1/1... Discriminator Loss: 1.3693... Generator Loss: 0.7166
Epoch 1/1... Discriminator Loss: 1.4269... Generator Loss: 0.7728
Epoch 1/1... Discriminator Loss: 1.4223... Generator Loss: 0.7070
Epoch 1/1... Discriminator Loss: 1.3809... Generator Loss: 0.7718
Epoch 1/1... Discriminator Loss: 1.4239... Generator Loss: 0.7569
Epoch 1/1... Discriminator Loss: 1.4088... Generator Loss: 0.7942
Epoch 1/1... Discriminator Loss: 1.4720... Generator Loss: 0.7147
Epoch 1/1... Discriminator Loss: 1.3361... Generator Loss: 0.7337
Epoch 1/1... Discriminator Loss: 1.5098... Generator Loss: 0.6136
Epoch 1/1... Discriminator Loss: 1.3940... Generator Loss: 0.8222
Epoch 1/1... Discriminator Loss: 1.3882... Generator Loss: 0.7051
Epoch 1/1... Discriminator Loss: 1.4099... Generator Loss: 0.7120
Epoch 1/1... Discriminator Loss: 1.3883... Generator Loss: 0.6977
Epoch 1/1... Discriminator Loss: 1.4038... Generator Loss: 0.7795
Epoch 1/1... Discriminator Loss: 1.3971... Generator Loss: 0.7227
Epoch 1/1... Discriminator Loss: 1.3857... Generator Loss: 0.7020
Epoch 1/1... Discriminator Loss: 1.4665... Generator Loss: 0.7023
Epoch 1/1... Discriminator Loss: 1.4187... Generator Loss: 0.7112
Epoch 1/1... Discriminator Loss: 1.3563... Generator Loss: 0.7638
Epoch 1/1... Discriminator Loss: 1.3221... Generator Loss: 0.8086
Epoch 1/1... Discriminator Loss: 1.3864... Generator Loss: 0.6762
Epoch 1/1... Discriminator Loss: 1.4432... Generator Loss: 0.6905
Epoch 1/1... Discriminator Loss: 1.5676... Generator Loss: 0.6612
Epoch 1/1... Discriminator Loss: 1.3955... Generator Loss: 0.8046
Epoch 1/1... Discriminator Loss: 1.4353... Generator Loss: 0.7110
Epoch 1/1... Discriminator Loss: 1.4447... Generator Loss: 0.7719
Epoch 1/1... Discriminator Loss: 1.4247... Generator Loss: 0.6376
Epoch 1/1... Discriminator Loss: 1.3132... Generator Loss: 0.7587
Epoch 1/1... Discriminator Loss: 1.4355... Generator Loss: 0.7328
Epoch 1/1... Discriminator Loss: 1.5027... Generator Loss: 0.6813
Epoch 1/1... Discriminator Loss: 1.3776... Generator Loss: 0.6296
Epoch 1/1... Discriminator Loss: 1.4010... Generator Loss: 0.6982
Epoch 1/1... Discriminator Loss: 1.4716... Generator Loss: 0.6381
Epoch 1/1... Discriminator Loss: 1.3864... Generator Loss: 0.7868
Epoch 1/1... Discriminator Loss: 1.3907... Generator Loss: 0.7344
Epoch 1/1... Discriminator Loss: 1.4139... Generator Loss: 0.6770
Epoch 1/1... Discriminator Loss: 1.3040... Generator Loss: 0.7990
Epoch 1/1... Discriminator Loss: 1.4041... Generator Loss: 0.7339
Epoch 1/1... Discriminator Loss: 1.4535... Generator Loss: 0.7000
Epoch 1/1... Discriminator Loss: 1.4476... Generator Loss: 0.6791
Epoch 1/1... Discriminator Loss: 1.4756... Generator Loss: 0.6613
Epoch 1/1... Discriminator Loss: 1.3483... Generator Loss: 0.7417
Epoch 1/1... Discriminator Loss: 1.3763... Generator Loss: 0.7923
Epoch 1/1... Discriminator Loss: 1.3527... Generator Loss: 0.7237
Epoch 1/1... Discriminator Loss: 1.3752... Generator Loss: 0.7822
Epoch 1/1... Discriminator Loss: 1.3746... Generator Loss: 0.7393
Epoch 1/1... Discriminator Loss: 1.4748... Generator Loss: 0.6683
Epoch 1/1... Discriminator Loss: 1.4694... Generator Loss: 0.6607
Epoch 1/1... Discriminator Loss: 1.4478... Generator Loss: 0.7892
Epoch 1/1... Discriminator Loss: 1.5557... Generator Loss: 0.6565
Epoch 1/1... Discriminator Loss: 1.3746... Generator Loss: 0.7789
Epoch 1/1... Discriminator Loss: 1.3274... Generator Loss: 0.7868
Epoch 1/1... Discriminator Loss: 1.4785... Generator Loss: 0.6144
Epoch 1/1... Discriminator Loss: 1.4063... Generator Loss: 0.7361
Epoch 1/1... Discriminator Loss: 1.2700... Generator Loss: 0.8440
Epoch 1/1... Discriminator Loss: 1.4161... Generator Loss: 0.7260
Epoch 1/1... Discriminator Loss: 1.4943... Generator Loss: 0.7892
Epoch 1/1... Discriminator Loss: 1.3584... Generator Loss: 0.7302
Epoch 1/1... Discriminator Loss: 1.3934... Generator Loss: 0.7605
Epoch 1/1... Discriminator Loss: 1.5550... Generator Loss: 0.6655
Epoch 1/1... Discriminator Loss: 1.4149... Generator Loss: 0.7800
Epoch 1/1... Discriminator Loss: 1.4272... Generator Loss: 0.6986
Epoch 1/1... Discriminator Loss: 1.3090... Generator Loss: 0.8291
Epoch 1/1... Discriminator Loss: 1.4417... Generator Loss: 0.7602
Epoch 1/1... Discriminator Loss: 1.2944... Generator Loss: 0.7910
Epoch 1/1... Discriminator Loss: 1.4732... Generator Loss: 0.6483
Epoch 1/1... Discriminator Loss: 1.4835... Generator Loss: 0.6895
Epoch 1/1... Discriminator Loss: 1.2957... Generator Loss: 0.7858
Epoch 1/1... Discriminator Loss: 1.4163... Generator Loss: 0.7517
Epoch 1/1... Discriminator Loss: 1.3956... Generator Loss: 0.7481
Epoch 1/1... Discriminator Loss: 1.3143... Generator Loss: 0.7669
Epoch 1/1... Discriminator Loss: 1.3423... Generator Loss: 0.8372
Epoch 1/1... Discriminator Loss: 1.3903... Generator Loss: 0.7147
Epoch 1/1... Discriminator Loss: 1.3900... Generator Loss: 0.7097
Epoch 1/1... Discriminator Loss: 1.3444... Generator Loss: 0.7490
Epoch 1/1... Discriminator Loss: 1.3243... Generator Loss: 0.8990
Epoch 1/1... Discriminator Loss: 1.5718... Generator Loss: 0.6774
Epoch 1/1... Discriminator Loss: 1.4225... Generator Loss: 0.7588
Epoch 1/1... Discriminator Loss: 1.4174... Generator Loss: 0.6301
Epoch 1/1... Discriminator Loss: 1.3277... Generator Loss: 0.7857
Epoch 1/1... Discriminator Loss: 1.3086... Generator Loss: 0.7605
Epoch 1/1... Discriminator Loss: 1.4470... Generator Loss: 0.6546
Epoch 1/1... Discriminator Loss: 1.4363... Generator Loss: 0.7898
Epoch 1/1... Discriminator Loss: 1.3550... Generator Loss: 0.7865
Epoch 1/1... Discriminator Loss: 1.3468... Generator Loss: 0.8118
Epoch 1/1... Discriminator Loss: 1.5126... Generator Loss: 0.7187
Epoch 1/1... Discriminator Loss: 1.3830... Generator Loss: 0.7477
Epoch 1/1... Discriminator Loss: 1.3668... Generator Loss: 0.7316
Epoch 1/1... Discriminator Loss: 1.4051... Generator Loss: 0.8054
Epoch 1/1... Discriminator Loss: 1.3786... Generator Loss: 0.7361
Epoch 1/1... Discriminator Loss: 1.4520... Generator Loss: 0.6775
Epoch 1/1... Discriminator Loss: 1.6067... Generator Loss: 0.6456
Epoch 1/1... Discriminator Loss: 1.2896... Generator Loss: 0.8221
Epoch 1/1... Discriminator Loss: 1.4070... Generator Loss: 0.7723
Epoch 1/1... Discriminator Loss: 1.3682... Generator Loss: 0.7658
Epoch 1/1... Discriminator Loss: 1.3526... Generator Loss: 0.8038
Epoch 1/1... Discriminator Loss: 1.4905... Generator Loss: 0.6781
Epoch 1/1... Discriminator Loss: 1.4812... Generator Loss: 0.7126
Epoch 1/1... Discriminator Loss: 1.4166... Generator Loss: 0.7225
Epoch 1/1... Discriminator Loss: 1.4490... Generator Loss: 0.7398
Epoch 1/1... Discriminator Loss: 1.3983... Generator Loss: 0.7656
Epoch 1/1... Discriminator Loss: 1.4102... Generator Loss: 0.6694
Epoch 1/1... Discriminator Loss: 1.5389... Generator Loss: 0.6983
Epoch 1/1... Discriminator Loss: 1.5129... Generator Loss: 0.5972
Epoch 1/1... Discriminator Loss: 1.3454... Generator Loss: 0.7244
Epoch 1/1... Discriminator Loss: 1.4009... Generator Loss: 0.7300
Epoch 1/1... Discriminator Loss: 1.4733... Generator Loss: 0.7661
Epoch 1/1... Discriminator Loss: 1.3914... Generator Loss: 0.7558
Epoch 1/1... Discriminator Loss: 1.2981... Generator Loss: 0.7611
Epoch 1/1... Discriminator Loss: 1.3810... Generator Loss: 0.7488
Epoch 1/1... Discriminator Loss: 1.4120... Generator Loss: 0.7339
Epoch 1/1... Discriminator Loss: 1.3954... Generator Loss: 0.7256
Epoch 1/1... Discriminator Loss: 1.5263... Generator Loss: 0.6421
Epoch 1/1... Discriminator Loss: 1.3685... Generator Loss: 0.7415
Epoch 1/1... Discriminator Loss: 1.4662... Generator Loss: 0.7015
Epoch 1/1... Discriminator Loss: 1.3942... Generator Loss: 0.8209
Epoch 1/1... Discriminator Loss: 1.4816... Generator Loss: 0.8031
Epoch 1/1... Discriminator Loss: 1.3692... Generator Loss: 0.7716
Epoch 1/1... Discriminator Loss: 1.3751... Generator Loss: 0.7837
Epoch 1/1... Discriminator Loss: 1.3168... Generator Loss: 0.8186
Epoch 1/1... Discriminator Loss: 1.4881... Generator Loss: 0.7127
Epoch 1/1... Discriminator Loss: 1.5075... Generator Loss: 0.6947
Epoch 1/1... Discriminator Loss: 1.3579... Generator Loss: 0.7270
Epoch 1/1... Discriminator Loss: 1.3868... Generator Loss: 0.7222
Epoch 1/1... Discriminator Loss: 1.4793... Generator Loss: 0.6146
Epoch 1/1... Discriminator Loss: 1.4394... Generator Loss: 0.6770
Epoch 1/1... Discriminator Loss: 1.2850... Generator Loss: 0.7329
Epoch 1/1... Discriminator Loss: 1.4497... Generator Loss: 0.6994
Epoch 1/1... Discriminator Loss: 1.3464... Generator Loss: 0.7774
Epoch 1/1... Discriminator Loss: 1.4894... Generator Loss: 0.7231
Epoch 1/1... Discriminator Loss: 1.3986... Generator Loss: 0.8623
Epoch 1/1... Discriminator Loss: 1.4203... Generator Loss: 0.7013
Epoch 1/1... Discriminator Loss: 1.3722... Generator Loss: 0.8653
Epoch 1/1... Discriminator Loss: 1.3681... Generator Loss: 0.7392
Epoch 1/1... Discriminator Loss: 1.4004... Generator Loss: 0.6956
Epoch 1/1... Discriminator Loss: 1.4908... Generator Loss: 0.6418
Epoch 1/1... Discriminator Loss: 1.4160... Generator Loss: 0.6862
Epoch 1/1... Discriminator Loss: 1.3604... Generator Loss: 0.7457
Epoch 1/1... Discriminator Loss: 1.3566... Generator Loss: 0.7298
Epoch 1/1... Discriminator Loss: 1.3489... Generator Loss: 0.7379
Epoch 1/1... Discriminator Loss: 1.3277... Generator Loss: 0.7939
Epoch 1/1... Discriminator Loss: 1.3410... Generator Loss: 0.8166
Epoch 1/1... Discriminator Loss: 1.4157... Generator Loss: 0.7006
Epoch 1/1... Discriminator Loss: 1.4501... Generator Loss: 0.6710
Epoch 1/1... Discriminator Loss: 1.4689... Generator Loss: 0.7228
Epoch 1/1... Discriminator Loss: 1.4243... Generator Loss: 0.7557
Epoch 1/1... Discriminator Loss: 1.4866... Generator Loss: 0.6731
Epoch 1/1... Discriminator Loss: 1.4655... Generator Loss: 0.7740
Epoch 1/1... Discriminator Loss: 1.3452... Generator Loss: 0.7540
Epoch 1/1... Discriminator Loss: 1.2681... Generator Loss: 0.8572
Epoch 1/1... Discriminator Loss: 1.3524... Generator Loss: 0.8222
Epoch 1/1... Discriminator Loss: 1.4586... Generator Loss: 0.7586
Epoch 1/1... Discriminator Loss: 1.4695... Generator Loss: 0.7073
Epoch 1/1... Discriminator Loss: 1.3784... Generator Loss: 0.6867
Epoch 1/1... Discriminator Loss: 1.4313... Generator Loss: 0.7204
Epoch 1/1... Discriminator Loss: 1.4578... Generator Loss: 0.7244
Epoch 1/1... Discriminator Loss: 1.4070... Generator Loss: 0.7127
Epoch 1/1... Discriminator Loss: 1.4044... Generator Loss: 0.7870
Epoch 1/1... Discriminator Loss: 1.4386... Generator Loss: 0.7291
Epoch 1/1... Discriminator Loss: 1.3736... Generator Loss: 0.7602
Epoch 1/1... Discriminator Loss: 1.4745... Generator Loss: 0.7182
Epoch 1/1... Discriminator Loss: 1.3559... Generator Loss: 0.7816
Epoch 1/1... Discriminator Loss: 1.4841... Generator Loss: 0.7264
Epoch 1/1... Discriminator Loss: 1.3215... Generator Loss: 0.7996
Epoch 1/1... Discriminator Loss: 1.3680... Generator Loss: 0.7355
Epoch 1/1... Discriminator Loss: 1.4252... Generator Loss: 0.7240
Epoch 1/1... Discriminator Loss: 1.3670... Generator Loss: 0.6787
Epoch 1/1... Discriminator Loss: 1.4850... Generator Loss: 0.6377
Epoch 1/1... Discriminator Loss: 1.3665... Generator Loss: 0.7281
Epoch 1/1... Discriminator Loss: 1.3027... Generator Loss: 0.8479
Epoch 1/1... Discriminator Loss: 1.3651... Generator Loss: 0.7700
Epoch 1/1... Discriminator Loss: 1.3953... Generator Loss: 0.7191
Epoch 1/1... Discriminator Loss: 1.4052... Generator Loss: 0.7291
Epoch 1/1... Discriminator Loss: 1.4142... Generator Loss: 0.7060
Epoch 1/1... Discriminator Loss: 1.4050... Generator Loss: 0.7468
Epoch 1/1... Discriminator Loss: 1.4447... Generator Loss: 0.6474
Epoch 1/1... Discriminator Loss: 1.3175... Generator Loss: 0.7898
Epoch 1/1... Discriminator Loss: 1.4092... Generator Loss: 0.7179
Epoch 1/1... Discriminator Loss: 1.4893... Generator Loss: 0.7386
Epoch 1/1... Discriminator Loss: 1.3065... Generator Loss: 0.7744
Epoch 1/1... Discriminator Loss: 1.3637... Generator Loss: 0.7291
Epoch 1/1... Discriminator Loss: 1.4156... Generator Loss: 0.6577
Epoch 1/1... Discriminator Loss: 1.3659... Generator Loss: 0.7715
Epoch 1/1... Discriminator Loss: 1.4585... Generator Loss: 0.6324
Epoch 1/1... Discriminator Loss: 1.3866... Generator Loss: 0.7396
Epoch 1/1... Discriminator Loss: 1.4925... Generator Loss: 0.6903
Epoch 1/1... Discriminator Loss: 1.4290... Generator Loss: 0.6793
Epoch 1/1... Discriminator Loss: 1.3369... Generator Loss: 0.7845
Epoch 1/1... Discriminator Loss: 1.4905... Generator Loss: 0.7143
Epoch 1/1... Discriminator Loss: 1.3450... Generator Loss: 0.8241
Epoch 1/1... Discriminator Loss: 1.3374... Generator Loss: 0.8290
Epoch 1/1... Discriminator Loss: 1.4582... Generator Loss: 0.6980
Epoch 1/1... Discriminator Loss: 1.2666... Generator Loss: 0.7894
Epoch 1/1... Discriminator Loss: 1.3817... Generator Loss: 0.8042
Epoch 1/1... Discriminator Loss: 1.3642... Generator Loss: 0.7665
Epoch 1/1... Discriminator Loss: 1.4072... Generator Loss: 0.7010
Epoch 1/1... Discriminator Loss: 1.3744... Generator Loss: 0.7857
Epoch 1/1... Discriminator Loss: 1.3872... Generator Loss: 0.7317
Epoch 1/1... Discriminator Loss: 1.3792... Generator Loss: 0.7934
Epoch 1/1... Discriminator Loss: 1.4422... Generator Loss: 0.7289
Epoch 1/1... Discriminator Loss: 1.3666... Generator Loss: 0.7537
Epoch 1/1... Discriminator Loss: 1.3838... Generator Loss: 0.6896
Epoch 1/1... Discriminator Loss: 1.4671... Generator Loss: 0.7162
Epoch 1/1... Discriminator Loss: 1.4048... Generator Loss: 0.7330
Epoch 1/1... Discriminator Loss: 1.3796... Generator Loss: 0.7501
Epoch 1/1... Discriminator Loss: 1.3974... Generator Loss: 0.7681
Epoch 1/1... Discriminator Loss: 1.3065... Generator Loss: 0.7684
Epoch 1/1... Discriminator Loss: 1.3765... Generator Loss: 0.8062
Epoch 1/1... Discriminator Loss: 1.3963... Generator Loss: 0.7381
Epoch 1/1... Discriminator Loss: 1.4057... Generator Loss: 0.6892
Epoch 1/1... Discriminator Loss: 1.3616... Generator Loss: 0.8109
Epoch 1/1... Discriminator Loss: 1.2791... Generator Loss: 0.7724
Epoch 1/1... Discriminator Loss: 1.4790... Generator Loss: 0.6753
Epoch 1/1... Discriminator Loss: 1.3670... Generator Loss: 0.7469
Epoch 1/1... Discriminator Loss: 1.3537... Generator Loss: 0.7929
Epoch 1/1... Discriminator Loss: 1.3204... Generator Loss: 0.8548
Epoch 1/1... Discriminator Loss: 1.5126... Generator Loss: 0.6973
Epoch 1/1... Discriminator Loss: 1.3881... Generator Loss: 0.7197
Epoch 1/1... Discriminator Loss: 1.3422... Generator Loss: 0.7601
Epoch 1/1... Discriminator Loss: 1.4149... Generator Loss: 0.7438
Epoch 1/1... Discriminator Loss: 1.3428... Generator Loss: 0.6921
Epoch 1/1... Discriminator Loss: 1.3243... Generator Loss: 0.7755
Epoch 1/1... Discriminator Loss: 1.4710... Generator Loss: 0.7040
Epoch 1/1... Discriminator Loss: 1.2904... Generator Loss: 0.8533
Epoch 1/1... Discriminator Loss: 1.3556... Generator Loss: 0.7631
Epoch 1/1... Discriminator Loss: 1.2533... Generator Loss: 0.9297
Epoch 1/1... Discriminator Loss: 1.3367... Generator Loss: 0.7818
Epoch 1/1... Discriminator Loss: 1.3953... Generator Loss: 0.7945
Epoch 1/1... Discriminator Loss: 1.3305... Generator Loss: 0.9554
Epoch 1/1... Discriminator Loss: 1.4015... Generator Loss: 0.7823
Epoch 1/1... Discriminator Loss: 1.3264... Generator Loss: 0.7208
Epoch 1/1... Discriminator Loss: 1.5063... Generator Loss: 0.6861
Epoch 1/1... Discriminator Loss: 1.3969... Generator Loss: 0.7684
Epoch 1/1... Discriminator Loss: 1.3283... Generator Loss: 0.7775
Epoch 1/1... Discriminator Loss: 1.3844... Generator Loss: 0.7581
Epoch 1/1... Discriminator Loss: 1.3581... Generator Loss: 0.7599
Epoch 1/1... Discriminator Loss: 1.4872... Generator Loss: 0.7456
Epoch 1/1... Discriminator Loss: 1.3610... Generator Loss: 0.7864
Epoch 1/1... Discriminator Loss: 1.3326... Generator Loss: 0.8145
Epoch 1/1... Discriminator Loss: 1.3577... Generator Loss: 0.8087
Epoch 1/1... Discriminator Loss: 1.4276... Generator Loss: 0.7487
Epoch 1/1... Discriminator Loss: 1.3672... Generator Loss: 0.8094
Epoch 1/1... Discriminator Loss: 1.3963... Generator Loss: 0.7647
Epoch 1/1... Discriminator Loss: 1.5049... Generator Loss: 0.6517
Epoch 1/1... Discriminator Loss: 1.5097... Generator Loss: 0.6736
Epoch 1/1... Discriminator Loss: 1.4169... Generator Loss: 0.8295
Epoch 1/1... Discriminator Loss: 1.3800... Generator Loss: 0.7132
Epoch 1/1... Discriminator Loss: 1.3501... Generator Loss: 0.7115
Epoch 1/1... Discriminator Loss: 1.4484... Generator Loss: 0.7786
Epoch 1/1... Discriminator Loss: 1.4411... Generator Loss: 0.7456
Epoch 1/1... Discriminator Loss: 1.3943... Generator Loss: 0.7337
Epoch 1/1... Discriminator Loss: 1.4178... Generator Loss: 0.7846
Epoch 1/1... Discriminator Loss: 1.4407... Generator Loss: 0.7632
Epoch 1/1... Discriminator Loss: 1.3558... Generator Loss: 0.7378
Epoch 1/1... Discriminator Loss: 1.4051... Generator Loss: 0.7985
Epoch 1/1... Discriminator Loss: 1.3700... Generator Loss: 0.7627
Epoch 1/1... Discriminator Loss: 1.3374... Generator Loss: 0.7920
Epoch 1/1... Discriminator Loss: 1.3151... Generator Loss: 0.7150
Epoch 1/1... Discriminator Loss: 1.3678... Generator Loss: 0.7681
Epoch 1/1... Discriminator Loss: 1.3885... Generator Loss: 0.8445
Epoch 1/1... Discriminator Loss: 1.3941... Generator Loss: 0.7734
Epoch 1/1... Discriminator Loss: 1.3658... Generator Loss: 0.7869
Epoch 1/1... Discriminator Loss: 1.4005... Generator Loss: 0.7538
Epoch 1/1... Discriminator Loss: 1.4398... Generator Loss: 0.7257
Epoch 1/1... Discriminator Loss: 1.3773... Generator Loss: 0.7212
Epoch 1/1... Discriminator Loss: 1.3217... Generator Loss: 0.7426
Epoch 1/1... Discriminator Loss: 1.4297... Generator Loss: 0.7897
Epoch 1/1... Discriminator Loss: 1.4064... Generator Loss: 0.7820
Epoch 1/1... Discriminator Loss: 1.3691... Generator Loss: 0.7630
Epoch 1/1... Discriminator Loss: 1.3253... Generator Loss: 0.7912
Epoch 1/1... Discriminator Loss: 1.3005... Generator Loss: 0.8464
Epoch 1/1... Discriminator Loss: 1.3396... Generator Loss: 0.7792
Epoch 1/1... Discriminator Loss: 1.4194... Generator Loss: 0.7820
Epoch 1/1... Discriminator Loss: 1.5148... Generator Loss: 0.7020
Epoch 1/1... Discriminator Loss: 1.3983... Generator Loss: 0.8125
Epoch 1/1... Discriminator Loss: 1.3878... Generator Loss: 0.7133
Epoch 1/1... Discriminator Loss: 1.3802... Generator Loss: 0.7667
Epoch 1/1... Discriminator Loss: 1.3493... Generator Loss: 0.6750
Epoch 1/1... Discriminator Loss: 1.3366... Generator Loss: 0.7085
Epoch 1/1... Discriminator Loss: 1.4669... Generator Loss: 0.6278
Epoch 1/1... Discriminator Loss: 1.3314... Generator Loss: 0.7924
Epoch 1/1... Discriminator Loss: 1.3550... Generator Loss: 0.8024
Epoch 1/1... Discriminator Loss: 1.4416... Generator Loss: 0.7087
Epoch 1/1... Discriminator Loss: 1.3036... Generator Loss: 0.7665
Epoch 1/1... Discriminator Loss: 1.4310... Generator Loss: 0.7310
Epoch 1/1... Discriminator Loss: 1.3886... Generator Loss: 0.7477
Epoch 1/1... Discriminator Loss: 1.4586... Generator Loss: 0.6667
Epoch 1/1... Discriminator Loss: 1.4300... Generator Loss: 0.7216
Epoch 1/1... Discriminator Loss: 1.4696... Generator Loss: 0.6488
Epoch 1/1... Discriminator Loss: 1.4036... Generator Loss: 0.7821
Epoch 1/1... Discriminator Loss: 1.3587... Generator Loss: 0.8080
Epoch 1/1... Discriminator Loss: 1.3958... Generator Loss: 0.6825
Epoch 1/1... Discriminator Loss: 1.4230... Generator Loss: 0.7526
Epoch 1/1... Discriminator Loss: 1.3878... Generator Loss: 0.8021
Epoch 1/1... Discriminator Loss: 1.3723... Generator Loss: 0.8263
Epoch 1/1... Discriminator Loss: 1.3725... Generator Loss: 0.7084
Epoch 1/1... Discriminator Loss: 1.6266... Generator Loss: 0.6901
Epoch 1/1... Discriminator Loss: 1.4254... Generator Loss: 0.7301
Epoch 1/1... Discriminator Loss: 1.3654... Generator Loss: 0.7301
Epoch 1/1... Discriminator Loss: 1.3466... Generator Loss: 0.7880
Epoch 1/1... Discriminator Loss: 1.3254... Generator Loss: 0.7513
Epoch 1/1... Discriminator Loss: 1.3350... Generator Loss: 0.7225
Epoch 1/1... Discriminator Loss: 1.4298... Generator Loss: 0.7121
Epoch 1/1... Discriminator Loss: 1.3737... Generator Loss: 0.7691
Epoch 1/1... Discriminator Loss: 1.3679... Generator Loss: 0.7049
Epoch 1/1... Discriminator Loss: 1.3791... Generator Loss: 0.7676
Epoch 1/1... Discriminator Loss: 1.4045... Generator Loss: 0.7005
Epoch 1/1... Discriminator Loss: 1.3721... Generator Loss: 0.9417
Epoch 1/1... Discriminator Loss: 1.4365... Generator Loss: 0.8924
Epoch 1/1... Discriminator Loss: 1.4956... Generator Loss: 0.6748
Epoch 1/1... Discriminator Loss: 1.3851... Generator Loss: 0.7553
Epoch 1/1... Discriminator Loss: 1.3767... Generator Loss: 0.7326
Epoch 1/1... Discriminator Loss: 1.4248... Generator Loss: 0.7509
Epoch 1/1... Discriminator Loss: 1.3458... Generator Loss: 0.7613
Epoch 1/1... Discriminator Loss: 1.3366... Generator Loss: 0.7465
Epoch 1/1... Discriminator Loss: 1.4153... Generator Loss: 0.7053
Epoch 1/1... Discriminator Loss: 1.3413... Generator Loss: 0.8152
Epoch 1/1... Discriminator Loss: 1.4052... Generator Loss: 0.7294
Epoch 1/1... Discriminator Loss: 1.3843... Generator Loss: 0.7899
Epoch 1/1... Discriminator Loss: 1.3955... Generator Loss: 0.7437
Epoch 1/1... Discriminator Loss: 1.5318... Generator Loss: 0.7047
Epoch 1/1... Discriminator Loss: 1.3434... Generator Loss: 0.7469
Epoch 1/1... Discriminator Loss: 1.3186... Generator Loss: 0.8649
Epoch 1/1... Discriminator Loss: 1.3061... Generator Loss: 0.7811
Epoch 1/1... Discriminator Loss: 1.3498... Generator Loss: 0.8737
Epoch 1/1... Discriminator Loss: 1.3627... Generator Loss: 0.7605
Epoch 1/1... Discriminator Loss: 1.4654... Generator Loss: 0.7485
Epoch 1/1... Discriminator Loss: 1.3378... Generator Loss: 0.7155
Epoch 1/1... Discriminator Loss: 1.3910... Generator Loss: 0.7416
Epoch 1/1... Discriminator Loss: 1.3686... Generator Loss: 0.7335
Epoch 1/1... Discriminator Loss: 1.4144... Generator Loss: 0.7965
Epoch 1/1... Discriminator Loss: 1.3186... Generator Loss: 0.7712
Epoch 1/1... Discriminator Loss: 1.3706... Generator Loss: 0.7689
Epoch 1/1... Discriminator Loss: 1.3202... Generator Loss: 0.7408
Epoch 1/1... Discriminator Loss: 1.4495... Generator Loss: 0.6600
Epoch 1/1... Discriminator Loss: 1.4232... Generator Loss: 0.7424
Epoch 1/1... Discriminator Loss: 1.4505... Generator Loss: 0.6285
Epoch 1/1... Discriminator Loss: 1.3587... Generator Loss: 0.8540
Epoch 1/1... Discriminator Loss: 1.3804... Generator Loss: 0.7003
Epoch 1/1... Discriminator Loss: 1.4707... Generator Loss: 0.6868
Epoch 1/1... Discriminator Loss: 1.4876... Generator Loss: 0.6649
Epoch 1/1... Discriminator Loss: 1.5171... Generator Loss: 0.6811
Epoch 1/1... Discriminator Loss: 1.3642... Generator Loss: 0.8346
Epoch 1/1... Discriminator Loss: 1.5829... Generator Loss: 0.6741
Epoch 1/1... Discriminator Loss: 1.4113... Generator Loss: 0.7199
Epoch 1/1... Discriminator Loss: 1.3933... Generator Loss: 0.7687
Epoch 1/1... Discriminator Loss: 1.4060... Generator Loss: 0.8285
Epoch 1/1... Discriminator Loss: 1.4142... Generator Loss: 0.7538
Epoch 1/1... Discriminator Loss: 1.2981... Generator Loss: 0.7931
Epoch 1/1... Discriminator Loss: 1.4083... Generator Loss: 0.7378
Epoch 1/1... Discriminator Loss: 1.3597... Generator Loss: 0.8152
Epoch 1/1... Discriminator Loss: 1.4040... Generator Loss: 0.7513
Epoch 1/1... Discriminator Loss: 1.4431... Generator Loss: 0.7636
Epoch 1/1... Discriminator Loss: 1.5075... Generator Loss: 0.6762
Epoch 1/1... Discriminator Loss: 1.3401... Generator Loss: 0.7594
Epoch 1/1... Discriminator Loss: 1.4020... Generator Loss: 0.7299
Epoch 1/1... Discriminator Loss: 1.4074... Generator Loss: 0.6683
Epoch 1/1... Discriminator Loss: 1.5242... Generator Loss: 0.7387
Epoch 1/1... Discriminator Loss: 1.3704... Generator Loss: 0.7483
Epoch 1/1... Discriminator Loss: 1.3723... Generator Loss: 0.7305
Epoch 1/1... Discriminator Loss: 1.3869... Generator Loss: 0.7339
Epoch 1/1... Discriminator Loss: 1.3852... Generator Loss: 0.7522
Epoch 1/1... Discriminator Loss: 1.4238... Generator Loss: 0.7094
Epoch 1/1... Discriminator Loss: 1.4617... Generator Loss: 0.7405
Epoch 1/1... Discriminator Loss: 1.4036... Generator Loss: 0.7794
Epoch 1/1... Discriminator Loss: 1.4013... Generator Loss: 0.7729
Epoch 1/1... Discriminator Loss: 1.3618... Generator Loss: 0.8192
Epoch 1/1... Discriminator Loss: 1.2976... Generator Loss: 0.7605
Epoch 1/1... Discriminator Loss: 1.5270... Generator Loss: 0.7258
Epoch 1/1... Discriminator Loss: 1.3451... Generator Loss: 0.7530
Epoch 1/1... Discriminator Loss: 1.3945... Generator Loss: 0.7138
Epoch 1/1... Discriminator Loss: 1.5246... Generator Loss: 0.7544
Epoch 1/1... Discriminator Loss: 1.3026... Generator Loss: 0.8776
Epoch 1/1... Discriminator Loss: 1.4500... Generator Loss: 0.7237
Epoch 1/1... Discriminator Loss: 1.4438... Generator Loss: 0.7991
Epoch 1/1... Discriminator Loss: 1.5149... Generator Loss: 0.7096
Epoch 1/1... Discriminator Loss: 1.3308... Generator Loss: 0.7205
Epoch 1/1... Discriminator Loss: 1.3172... Generator Loss: 0.7521
Epoch 1/1... Discriminator Loss: 1.3722... Generator Loss: 0.7591
Epoch 1/1... Discriminator Loss: 1.3931... Generator Loss: 0.8244
Epoch 1/1... Discriminator Loss: 1.3411... Generator Loss: 0.7407
Epoch 1/1... Discriminator Loss: 1.5091... Generator Loss: 0.7634
Epoch 1/1... Discriminator Loss: 1.3464... Generator Loss: 0.7485
Epoch 1/1... Discriminator Loss: 1.3390... Generator Loss: 0.7920
Epoch 1/1... Discriminator Loss: 1.3542... Generator Loss: 0.7811
Epoch 1/1... Discriminator Loss: 1.3715... Generator Loss: 0.6853
Epoch 1/1... Discriminator Loss: 1.4363... Generator Loss: 0.6876
Epoch 1/1... Discriminator Loss: 1.4424... Generator Loss: 0.7979
Epoch 1/1... Discriminator Loss: 1.4729... Generator Loss: 0.7970
Epoch 1/1... Discriminator Loss: 1.4453... Generator Loss: 0.7211
Epoch 1/1... Discriminator Loss: 1.2989... Generator Loss: 0.8268
Epoch 1/1... Discriminator Loss: 1.3373... Generator Loss: 0.8198
Epoch 1/1... Discriminator Loss: 1.3537... Generator Loss: 0.7334
Epoch 1/1... Discriminator Loss: 1.3566... Generator Loss: 0.8204
Epoch 1/1... Discriminator Loss: 1.5029... Generator Loss: 0.7318
Epoch 1/1... Discriminator Loss: 1.3417... Generator Loss: 0.7795
Epoch 1/1... Discriminator Loss: 1.4528... Generator Loss: 0.7174
Epoch 1/1... Discriminator Loss: 1.3486... Generator Loss: 0.8452
Epoch 1/1... Discriminator Loss: 1.3732... Generator Loss: 0.7172
Epoch 1/1... Discriminator Loss: 1.3626... Generator Loss: 0.7755
Epoch 1/1... Discriminator Loss: 1.3996... Generator Loss: 0.8440
Epoch 1/1... Discriminator Loss: 1.4221... Generator Loss: 0.7368
Epoch 1/1... Discriminator Loss: 1.3414... Generator Loss: 0.8653
Epoch 1/1... Discriminator Loss: 1.4627... Generator Loss: 0.6650
Epoch 1/1... Discriminator Loss: 1.4026... Generator Loss: 0.7508
Epoch 1/1... Discriminator Loss: 1.3852... Generator Loss: 0.7340
Epoch 1/1... Discriminator Loss: 1.3777... Generator Loss: 0.8021

Submitting This Project

When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.